Run the Known Sub-Sequence Algorithm to compare the performance of imputation methods on a time series of interest
kssa(
x_ts,
start_methods,
actual_methods,
segments = 5,
iterations = 10,
percentmd = 0.2,
seed = 1234
)Time series object ts containing missing data (NA)
String vector. The method or methods to start the algorithm. Same as for actual_methods
The imputation methods to be compared and validated. It can be a string vector containing the following You can choose between the following:
"all" - compare among all methods automatically - Default
"auto.arima" - State space representation of an ARIMA model
"StructTS" - State space representation of a structural model
"seadec" - Seasonal decomposition with Kalman smoothing
"linear_i" - Linear interpolation
"spline_i" - Spline interpolation
"stine_i" - Stineman interpolation
"simple_ma" - Simple moving average
"linear_ma" - Linear moving average
"exponential_ma" - Exponential moving average
"locf" - Last observation carried forward
"stl" - Seasonal and trend decomposition with Loess
For further details on these imputation methods please check packages imputeTS and forecast
Integer. Into how many segments the time series will be divided
Integer. How many iterations to run
Numeric. Percentage of missing data. Must match with the true percentage of missing data in x_ts
Numeric. Random seed to choose
A list of results to be plotted with function kssa_plot for easy interpretation
Benavides, I. F., Santacruz, M., Romero-Leiton, J. P., Barreto, C., & Selvaraj, J. J. (2022). Assessing methods for multiple imputation of systematic missing data in marine fisheries time series with a new validation algorithm. Aquaculture and Fisheries. Full text publication.
# \donttest{
# Example 1: Compare all imputation methods
library("kssa")
library("imputeTS")
# Create 20% random missing data in tsAirgapComplete time series from imputeTS
airgap_na <- missMethods::delete_MCAR(as.data.frame(tsAirgapComplete), 0.2)
# Convert to time series object
airgap_na_ts <- ts(airgap_na, start = c(1959, 1), end = c(1997, 12), frequency = 12)
# Apply the kssa algorithm with 5 segments, 10 iterations, 20% of missing data,
# compare among all available methods in the package.
# Remember that percentmd must match with
# the real percentage of missing data in the input time series
results_kssa <- kssa(airgap_na_ts,
start_methods = "all",
actual_methods = "all",
segments = 5,
iterations = 10,
percentmd = 0.2
)
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
#> Warning: No seasonality information for dataset could be found, going on without decomposition.
#> Setting find_frequency=TRUE might be an option.
# Print and check results
results_kssa
#> [[1]]
#> $start_methods
#> [1] "auto.arima" "auto.arima" "auto.arima" "auto.arima"
#> [5] "auto.arima" "auto.arima" "auto.arima" "auto.arima"
#> [9] "auto.arima" "auto.arima" "auto.arima" "auto.arima"
#> [13] "auto.arima" "auto.arima" "auto.arima" "auto.arima"
#> [17] "auto.arima" "auto.arima" "auto.arima" "auto.arima"
#> [21] "auto.arima" "auto.arima" "auto.arima" "auto.arima"
#> [25] "auto.arima" "auto.arima" "auto.arima" "auto.arima"
#> [29] "auto.arima" "auto.arima" "auto.arima" "auto.arima"
#> [33] "auto.arima" "auto.arima" "auto.arima" "auto.arima"
#> [37] "auto.arima" "auto.arima" "auto.arima" "auto.arima"
#> [41] "auto.arima" "auto.arima" "auto.arima" "auto.arima"
#> [45] "auto.arima" "auto.arima" "auto.arima" "auto.arima"
#> [49] "auto.arima" "auto.arima" "auto.arima" "auto.arima"
#> [53] "auto.arima" "auto.arima" "auto.arima" "auto.arima"
#> [57] "auto.arima" "auto.arima" "auto.arima" "auto.arima"
#> [61] "auto.arima" "auto.arima" "auto.arima" "auto.arima"
#> [65] "auto.arima" "auto.arima" "auto.arima" "auto.arima"
#> [69] "auto.arima" "auto.arima" "auto.arima" "auto.arima"
#> [73] "auto.arima" "auto.arima" "auto.arima" "auto.arima"
#> [77] "auto.arima" "auto.arima" "auto.arima" "auto.arima"
#> [81] "auto.arima" "auto.arima" "auto.arima" "auto.arima"
#> [85] "auto.arima" "auto.arima" "auto.arima" "auto.arima"
#> [89] "auto.arima" "auto.arima" "auto.arima" "auto.arima"
#> [93] "auto.arima" "auto.arima" "auto.arima" "auto.arima"
#> [97] "auto.arima" "auto.arima" "auto.arima" "auto.arima"
#> [101] "auto.arima" "auto.arima" "auto.arima" "auto.arima"
#> [105] "auto.arima" "auto.arima" "auto.arima" "auto.arima"
#> [109] "auto.arima" "auto.arima" "StructTS" "StructTS"
#> [113] "StructTS" "StructTS" "StructTS" "StructTS"
#> [117] "StructTS" "StructTS" "StructTS" "StructTS"
#> [121] "StructTS" "StructTS" "StructTS" "StructTS"
#> [125] "StructTS" "StructTS" "StructTS" "StructTS"
#> [129] "StructTS" "StructTS" "StructTS" "StructTS"
#> [133] "StructTS" "StructTS" "StructTS" "StructTS"
#> [137] "StructTS" "StructTS" "StructTS" "StructTS"
#> [141] "StructTS" "StructTS" "StructTS" "StructTS"
#> [145] "StructTS" "StructTS" "StructTS" "StructTS"
#> [149] "StructTS" "StructTS" "StructTS" "StructTS"
#> [153] "StructTS" "StructTS" "StructTS" "StructTS"
#> [157] "StructTS" "StructTS" "StructTS" "StructTS"
#> [161] "StructTS" "StructTS" "StructTS" "StructTS"
#> [165] "StructTS" "StructTS" "StructTS" "StructTS"
#> [169] "StructTS" "StructTS" "StructTS" "StructTS"
#> [173] "StructTS" "StructTS" "StructTS" "StructTS"
#> [177] "StructTS" "StructTS" "StructTS" "StructTS"
#> [181] "StructTS" "StructTS" "StructTS" "StructTS"
#> [185] "StructTS" "StructTS" "StructTS" "StructTS"
#> [189] "StructTS" "StructTS" "StructTS" "StructTS"
#> [193] "StructTS" "StructTS" "StructTS" "StructTS"
#> [197] "StructTS" "StructTS" "StructTS" "StructTS"
#> [201] "StructTS" "StructTS" "StructTS" "StructTS"
#> [205] "StructTS" "StructTS" "StructTS" "StructTS"
#> [209] "StructTS" "StructTS" "StructTS" "StructTS"
#> [213] "StructTS" "StructTS" "StructTS" "StructTS"
#> [217] "StructTS" "StructTS" "StructTS" "StructTS"
#> [221] "linear_i" "linear_i" "linear_i" "linear_i"
#> [225] "linear_i" "linear_i" "linear_i" "linear_i"
#> [229] "linear_i" "linear_i" "linear_i" "linear_i"
#> [233] "linear_i" "linear_i" "linear_i" "linear_i"
#> [237] "linear_i" "linear_i" "linear_i" "linear_i"
#> [241] "linear_i" "linear_i" "linear_i" "linear_i"
#> [245] "linear_i" "linear_i" "linear_i" "linear_i"
#> [249] "linear_i" "linear_i" "linear_i" "linear_i"
#> [253] "linear_i" "linear_i" "linear_i" "linear_i"
#> [257] "linear_i" "linear_i" "linear_i" "linear_i"
#> [261] "linear_i" "linear_i" "linear_i" "linear_i"
#> [265] "linear_i" "linear_i" "linear_i" "linear_i"
#> [269] "linear_i" "linear_i" "linear_i" "linear_i"
#> [273] "linear_i" "linear_i" "linear_i" "linear_i"
#> [277] "linear_i" "linear_i" "linear_i" "linear_i"
#> [281] "linear_i" "linear_i" "linear_i" "linear_i"
#> [285] "linear_i" "linear_i" "linear_i" "linear_i"
#> [289] "linear_i" "linear_i" "linear_i" "linear_i"
#> [293] "linear_i" "linear_i" "linear_i" "linear_i"
#> [297] "linear_i" "linear_i" "linear_i" "linear_i"
#> [301] "linear_i" "linear_i" "linear_i" "linear_i"
#> [305] "linear_i" "linear_i" "linear_i" "linear_i"
#> [309] "linear_i" "linear_i" "linear_i" "linear_i"
#> [313] "linear_i" "linear_i" "linear_i" "linear_i"
#> [317] "linear_i" "linear_i" "linear_i" "linear_i"
#> [321] "linear_i" "linear_i" "linear_i" "linear_i"
#> [325] "linear_i" "linear_i" "linear_i" "linear_i"
#> [329] "linear_i" "linear_i" "spline_i" "spline_i"
#> [333] "spline_i" "spline_i" "spline_i" "spline_i"
#> [337] "spline_i" "spline_i" "spline_i" "spline_i"
#> [341] "spline_i" "spline_i" "spline_i" "spline_i"
#> [345] "spline_i" "spline_i" "spline_i" "spline_i"
#> [349] "spline_i" "spline_i" "spline_i" "spline_i"
#> [353] "spline_i" "spline_i" "spline_i" "spline_i"
#> [357] "spline_i" "spline_i" "spline_i" "spline_i"
#> [361] "spline_i" "spline_i" "spline_i" "spline_i"
#> [365] "spline_i" "spline_i" "spline_i" "spline_i"
#> [369] "spline_i" "spline_i" "spline_i" "spline_i"
#> [373] "spline_i" "spline_i" "spline_i" "spline_i"
#> [377] "spline_i" "spline_i" "spline_i" "spline_i"
#> [381] "spline_i" "spline_i" "spline_i" "spline_i"
#> [385] "spline_i" "spline_i" "spline_i" "spline_i"
#> [389] "spline_i" "spline_i" "spline_i" "spline_i"
#> [393] "spline_i" "spline_i" "spline_i" "spline_i"
#> [397] "spline_i" "spline_i" "spline_i" "spline_i"
#> [401] "spline_i" "spline_i" "spline_i" "spline_i"
#> [405] "spline_i" "spline_i" "spline_i" "spline_i"
#> [409] "spline_i" "spline_i" "spline_i" "spline_i"
#> [413] "spline_i" "spline_i" "spline_i" "spline_i"
#> [417] "spline_i" "spline_i" "spline_i" "spline_i"
#> [421] "spline_i" "spline_i" "spline_i" "spline_i"
#> [425] "spline_i" "spline_i" "spline_i" "spline_i"
#> [429] "spline_i" "spline_i" "spline_i" "spline_i"
#> [433] "spline_i" "spline_i" "spline_i" "spline_i"
#> [437] "spline_i" "spline_i" "spline_i" "spline_i"
#> [441] "stine_i" "stine_i" "stine_i" "stine_i"
#> [445] "stine_i" "stine_i" "stine_i" "stine_i"
#> [449] "stine_i" "stine_i" "stine_i" "stine_i"
#> [453] "stine_i" "stine_i" "stine_i" "stine_i"
#> [457] "stine_i" "stine_i" "stine_i" "stine_i"
#> [461] "stine_i" "stine_i" "stine_i" "stine_i"
#> [465] "stine_i" "stine_i" "stine_i" "stine_i"
#> [469] "stine_i" "stine_i" "stine_i" "stine_i"
#> [473] "stine_i" "stine_i" "stine_i" "stine_i"
#> [477] "stine_i" "stine_i" "stine_i" "stine_i"
#> [481] "stine_i" "stine_i" "stine_i" "stine_i"
#> [485] "stine_i" "stine_i" "stine_i" "stine_i"
#> [489] "stine_i" "stine_i" "stine_i" "stine_i"
#> [493] "stine_i" "stine_i" "stine_i" "stine_i"
#> [497] "stine_i" "stine_i" "stine_i" "stine_i"
#> [501] "stine_i" "stine_i" "stine_i" "stine_i"
#> [505] "stine_i" "stine_i" "stine_i" "stine_i"
#> [509] "stine_i" "stine_i" "stine_i" "stine_i"
#> [513] "stine_i" "stine_i" "stine_i" "stine_i"
#> [517] "stine_i" "stine_i" "stine_i" "stine_i"
#> [521] "stine_i" "stine_i" "stine_i" "stine_i"
#> [525] "stine_i" "stine_i" "stine_i" "stine_i"
#> [529] "stine_i" "stine_i" "stine_i" "stine_i"
#> [533] "stine_i" "stine_i" "stine_i" "stine_i"
#> [537] "stine_i" "stine_i" "stine_i" "stine_i"
#> [541] "stine_i" "stine_i" "stine_i" "stine_i"
#> [545] "stine_i" "stine_i" "stine_i" "stine_i"
#> [549] "stine_i" "stine_i" "simple_ma" "simple_ma"
#> [553] "simple_ma" "simple_ma" "simple_ma" "simple_ma"
#> [557] "simple_ma" "simple_ma" "simple_ma" "simple_ma"
#> [561] "simple_ma" "simple_ma" "simple_ma" "simple_ma"
#> [565] "simple_ma" "simple_ma" "simple_ma" "simple_ma"
#> [569] "simple_ma" "simple_ma" "simple_ma" "simple_ma"
#> [573] "simple_ma" "simple_ma" "simple_ma" "simple_ma"
#> [577] "simple_ma" "simple_ma" "simple_ma" "simple_ma"
#> [581] "simple_ma" "simple_ma" "simple_ma" "simple_ma"
#> [585] "simple_ma" "simple_ma" "simple_ma" "simple_ma"
#> [589] "simple_ma" "simple_ma" "simple_ma" "simple_ma"
#> [593] "simple_ma" "simple_ma" "simple_ma" "simple_ma"
#> [597] "simple_ma" "simple_ma" "simple_ma" "simple_ma"
#> [601] "simple_ma" "simple_ma" "simple_ma" "simple_ma"
#> [605] "simple_ma" "simple_ma" "simple_ma" "simple_ma"
#> [609] "simple_ma" "simple_ma" "simple_ma" "simple_ma"
#> [613] "simple_ma" "simple_ma" "simple_ma" "simple_ma"
#> [617] "simple_ma" "simple_ma" "simple_ma" "simple_ma"
#> [621] "simple_ma" "simple_ma" "simple_ma" "simple_ma"
#> [625] "simple_ma" "simple_ma" "simple_ma" "simple_ma"
#> [629] "simple_ma" "simple_ma" "simple_ma" "simple_ma"
#> [633] "simple_ma" "simple_ma" "simple_ma" "simple_ma"
#> [637] "simple_ma" "simple_ma" "simple_ma" "simple_ma"
#> [641] "simple_ma" "simple_ma" "simple_ma" "simple_ma"
#> [645] "simple_ma" "simple_ma" "simple_ma" "simple_ma"
#> [649] "simple_ma" "simple_ma" "simple_ma" "simple_ma"
#> [653] "simple_ma" "simple_ma" "simple_ma" "simple_ma"
#> [657] "simple_ma" "simple_ma" "simple_ma" "simple_ma"
#> [661] "linear_ma" "linear_ma" "linear_ma" "linear_ma"
#> [665] "linear_ma" "linear_ma" "linear_ma" "linear_ma"
#> [669] "linear_ma" "linear_ma" "linear_ma" "linear_ma"
#> [673] "linear_ma" "linear_ma" "linear_ma" "linear_ma"
#> [677] "linear_ma" "linear_ma" "linear_ma" "linear_ma"
#> [681] "linear_ma" "linear_ma" "linear_ma" "linear_ma"
#> [685] "linear_ma" "linear_ma" "linear_ma" "linear_ma"
#> [689] "linear_ma" "linear_ma" "linear_ma" "linear_ma"
#> [693] "linear_ma" "linear_ma" "linear_ma" "linear_ma"
#> [697] "linear_ma" "linear_ma" "linear_ma" "linear_ma"
#> [701] "linear_ma" "linear_ma" "linear_ma" "linear_ma"
#> [705] "linear_ma" "linear_ma" "linear_ma" "linear_ma"
#> [709] "linear_ma" "linear_ma" "linear_ma" "linear_ma"
#> [713] "linear_ma" "linear_ma" "linear_ma" "linear_ma"
#> [717] "linear_ma" "linear_ma" "linear_ma" "linear_ma"
#> [721] "linear_ma" "linear_ma" "linear_ma" "linear_ma"
#> [725] "linear_ma" "linear_ma" "linear_ma" "linear_ma"
#> [729] "linear_ma" "linear_ma" "linear_ma" "linear_ma"
#> [733] "linear_ma" "linear_ma" "linear_ma" "linear_ma"
#> [737] "linear_ma" "linear_ma" "linear_ma" "linear_ma"
#> [741] "linear_ma" "linear_ma" "linear_ma" "linear_ma"
#> [745] "linear_ma" "linear_ma" "linear_ma" "linear_ma"
#> [749] "linear_ma" "linear_ma" "linear_ma" "linear_ma"
#> [753] "linear_ma" "linear_ma" "linear_ma" "linear_ma"
#> [757] "linear_ma" "linear_ma" "linear_ma" "linear_ma"
#> [761] "linear_ma" "linear_ma" "linear_ma" "linear_ma"
#> [765] "linear_ma" "linear_ma" "linear_ma" "linear_ma"
#> [769] "linear_ma" "linear_ma" "exponential_ma" "exponential_ma"
#> [773] "exponential_ma" "exponential_ma" "exponential_ma" "exponential_ma"
#> [777] "exponential_ma" "exponential_ma" "exponential_ma" "exponential_ma"
#> [781] "exponential_ma" "exponential_ma" "exponential_ma" "exponential_ma"
#> [785] "exponential_ma" "exponential_ma" "exponential_ma" "exponential_ma"
#> [789] "exponential_ma" "exponential_ma" "exponential_ma" "exponential_ma"
#> [793] "exponential_ma" "exponential_ma" "exponential_ma" "exponential_ma"
#> [797] "exponential_ma" "exponential_ma" "exponential_ma" "exponential_ma"
#> [801] "exponential_ma" "exponential_ma" "exponential_ma" "exponential_ma"
#> [805] "exponential_ma" "exponential_ma" "exponential_ma" "exponential_ma"
#> [809] "exponential_ma" "exponential_ma" "exponential_ma" "exponential_ma"
#> [813] "exponential_ma" "exponential_ma" "exponential_ma" "exponential_ma"
#> [817] "exponential_ma" "exponential_ma" "exponential_ma" "exponential_ma"
#> [821] "exponential_ma" "exponential_ma" "exponential_ma" "exponential_ma"
#> [825] "exponential_ma" "exponential_ma" "exponential_ma" "exponential_ma"
#> [829] "exponential_ma" "exponential_ma" "exponential_ma" "exponential_ma"
#> [833] "exponential_ma" "exponential_ma" "exponential_ma" "exponential_ma"
#> [837] "exponential_ma" "exponential_ma" "exponential_ma" "exponential_ma"
#> [841] "exponential_ma" "exponential_ma" "exponential_ma" "exponential_ma"
#> [845] "exponential_ma" "exponential_ma" "exponential_ma" "exponential_ma"
#> [849] "exponential_ma" "exponential_ma" "exponential_ma" "exponential_ma"
#> [853] "exponential_ma" "exponential_ma" "exponential_ma" "exponential_ma"
#> [857] "exponential_ma" "exponential_ma" "exponential_ma" "exponential_ma"
#> [861] "exponential_ma" "exponential_ma" "exponential_ma" "exponential_ma"
#> [865] "exponential_ma" "exponential_ma" "exponential_ma" "exponential_ma"
#> [869] "exponential_ma" "exponential_ma" "exponential_ma" "exponential_ma"
#> [873] "exponential_ma" "exponential_ma" "exponential_ma" "exponential_ma"
#> [877] "exponential_ma" "exponential_ma" "exponential_ma" "exponential_ma"
#> [881] "seadec" "seadec" "seadec" "seadec"
#> [885] "seadec" "seadec" "seadec" "seadec"
#> [889] "seadec" "seadec" "seadec" "seadec"
#> [893] "seadec" "seadec" "seadec" "seadec"
#> [897] "seadec" "seadec" "seadec" "seadec"
#> [901] "seadec" "seadec" "seadec" "seadec"
#> [905] "seadec" "seadec" "seadec" "seadec"
#> [909] "seadec" "seadec" "seadec" "seadec"
#> [913] "seadec" "seadec" "seadec" "seadec"
#> [917] "seadec" "seadec" "seadec" "seadec"
#> [921] "seadec" "seadec" "seadec" "seadec"
#> [925] "seadec" "seadec" "seadec" "seadec"
#> [929] "seadec" "seadec" "seadec" "seadec"
#> [933] "seadec" "seadec" "seadec" "seadec"
#> [937] "seadec" "seadec" "seadec" "seadec"
#> [941] "seadec" "seadec" "seadec" "seadec"
#> [945] "seadec" "seadec" "seadec" "seadec"
#> [949] "seadec" "seadec" "seadec" "seadec"
#> [953] "seadec" "seadec" "seadec" "seadec"
#> [957] "seadec" "seadec" "seadec" "seadec"
#> [961] "seadec" "seadec" "seadec" "seadec"
#> [965] "seadec" "seadec" "seadec" "seadec"
#> [969] "seadec" "seadec" "seadec" "seadec"
#> [973] "seadec" "seadec" "seadec" "seadec"
#> [977] "seadec" "seadec" "seadec" "seadec"
#> [981] "seadec" "seadec" "seadec" "seadec"
#> [985] "seadec" "seadec" "seadec" "seadec"
#> [989] "seadec" "seadec" "locf" "locf"
#> [993] "locf" "locf" "locf" "locf"
#> [997] "locf" "locf" "locf" "locf"
#> [1001] "locf" "locf" "locf" "locf"
#> [1005] "locf" "locf" "locf" "locf"
#> [1009] "locf" "locf" "locf" "locf"
#> [1013] "locf" "locf" "locf" "locf"
#> [1017] "locf" "locf" "locf" "locf"
#> [1021] "locf" "locf" "locf" "locf"
#> [1025] "locf" "locf" "locf" "locf"
#> [1029] "locf" "locf" "locf" "locf"
#> [1033] "locf" "locf" "locf" "locf"
#> [1037] "locf" "locf" "locf" "locf"
#> [1041] "locf" "locf" "locf" "locf"
#> [1045] "locf" "locf" "locf" "locf"
#> [1049] "locf" "locf" "locf" "locf"
#> [1053] "locf" "locf" "locf" "locf"
#> [1057] "locf" "locf" "locf" "locf"
#> [1061] "locf" "locf" "locf" "locf"
#> [1065] "locf" "locf" "locf" "locf"
#> [1069] "locf" "locf" "locf" "locf"
#> [1073] "locf" "locf" "locf" "locf"
#> [1077] "locf" "locf" "locf" "locf"
#> [1081] "locf" "locf" "locf" "locf"
#> [1085] "locf" "locf" "locf" "locf"
#> [1089] "locf" "locf" "locf" "locf"
#> [1093] "locf" "locf" "locf" "locf"
#> [1097] "locf" "locf" "locf" "locf"
#> [1101] "stl" "stl" "stl" "stl"
#> [1105] "stl" "stl" "stl" "stl"
#> [1109] "stl" "stl" "stl" "stl"
#> [1113] "stl" "stl" "stl" "stl"
#> [1117] "stl" "stl" "stl" "stl"
#> [1121] "stl" "stl" "stl" "stl"
#> [1125] "stl" "stl" "stl" "stl"
#> [1129] "stl" "stl" "stl" "stl"
#> [1133] "stl" "stl" "stl" "stl"
#> [1137] "stl" "stl" "stl" "stl"
#> [1141] "stl" "stl" "stl" "stl"
#> [1145] "stl" "stl" "stl" "stl"
#> [1149] "stl" "stl" "stl" "stl"
#> [1153] "stl" "stl" "stl" "stl"
#> [1157] "stl" "stl" "stl" "stl"
#> [1161] "stl" "stl" "stl" "stl"
#> [1165] "stl" "stl" "stl" "stl"
#> [1169] "stl" "stl" "stl" "stl"
#> [1173] "stl" "stl" "stl" "stl"
#> [1177] "stl" "stl" "stl" "stl"
#> [1181] "stl" "stl" "stl" "stl"
#> [1185] "stl" "stl" "stl" "stl"
#> [1189] "stl" "stl" "stl" "stl"
#> [1193] "stl" "stl" "stl" "stl"
#> [1197] "stl" "stl" "stl" "stl"
#> [1201] "stl" "stl" "stl" "stl"
#> [1205] "stl" "stl" "stl" "stl"
#> [1209] "stl" "stl"
#>
#> $actual_methods
#> [1] "auto.arima" "StructTS" "linear_i" "spline_i"
#> [5] "stine_i" "simple_ma" "linear_ma" "exponential_ma"
#> [9] "seadec" "locf" "stl" "auto.arima"
#> [13] "StructTS" "linear_i" "spline_i" "stine_i"
#> [17] "simple_ma" "linear_ma" "exponential_ma" "seadec"
#> [21] "locf" "stl" "auto.arima" "StructTS"
#> [25] "linear_i" "spline_i" "stine_i" "simple_ma"
#> [29] "linear_ma" "exponential_ma" "seadec" "locf"
#> [33] "stl" "auto.arima" "StructTS" "linear_i"
#> [37] "spline_i" "stine_i" "simple_ma" "linear_ma"
#> [41] "exponential_ma" "seadec" "locf" "stl"
#> [45] "auto.arima" "StructTS" "linear_i" "spline_i"
#> [49] "stine_i" "simple_ma" "linear_ma" "exponential_ma"
#> [53] "seadec" "locf" "stl" "auto.arima"
#> [57] "StructTS" "linear_i" "spline_i" "stine_i"
#> [61] "simple_ma" "linear_ma" "exponential_ma" "seadec"
#> [65] "locf" "stl" "auto.arima" "StructTS"
#> [69] "linear_i" "spline_i" "stine_i" "simple_ma"
#> [73] "linear_ma" "exponential_ma" "seadec" "locf"
#> [77] "stl" "auto.arima" "StructTS" "linear_i"
#> [81] "spline_i" "stine_i" "simple_ma" "linear_ma"
#> [85] "exponential_ma" "seadec" "locf" "stl"
#> [89] "auto.arima" "StructTS" "linear_i" "spline_i"
#> [93] "stine_i" "simple_ma" "linear_ma" "exponential_ma"
#> [97] "seadec" "locf" "stl" "auto.arima"
#> [101] "StructTS" "linear_i" "spline_i" "stine_i"
#> [105] "simple_ma" "linear_ma" "exponential_ma" "seadec"
#> [109] "locf" "stl" "auto.arima" "StructTS"
#> [113] "linear_i" "spline_i" "stine_i" "simple_ma"
#> [117] "linear_ma" "exponential_ma" "seadec" "locf"
#> [121] "stl" "auto.arima" "StructTS" "linear_i"
#> [125] "spline_i" "stine_i" "simple_ma" "linear_ma"
#> [129] "exponential_ma" "seadec" "locf" "stl"
#> [133] "auto.arima" "StructTS" "linear_i" "spline_i"
#> [137] "stine_i" "simple_ma" "linear_ma" "exponential_ma"
#> [141] "seadec" "locf" "stl" "auto.arima"
#> [145] "StructTS" "linear_i" "spline_i" "stine_i"
#> [149] "simple_ma" "linear_ma" "exponential_ma" "seadec"
#> [153] "locf" "stl" "auto.arima" "StructTS"
#> [157] "linear_i" "spline_i" "stine_i" "simple_ma"
#> [161] "linear_ma" "exponential_ma" "seadec" "locf"
#> [165] "stl" "auto.arima" "StructTS" "linear_i"
#> [169] "spline_i" "stine_i" "simple_ma" "linear_ma"
#> [173] "exponential_ma" "seadec" "locf" "stl"
#> [177] "auto.arima" "StructTS" "linear_i" "spline_i"
#> [181] "stine_i" "simple_ma" "linear_ma" "exponential_ma"
#> [185] "seadec" "locf" "stl" "auto.arima"
#> [189] "StructTS" "linear_i" "spline_i" "stine_i"
#> [193] "simple_ma" "linear_ma" "exponential_ma" "seadec"
#> [197] "locf" "stl" "auto.arima" "StructTS"
#> [201] "linear_i" "spline_i" "stine_i" "simple_ma"
#> [205] "linear_ma" "exponential_ma" "seadec" "locf"
#> [209] "stl" "auto.arima" "StructTS" "linear_i"
#> [213] "spline_i" "stine_i" "simple_ma" "linear_ma"
#> [217] "exponential_ma" "seadec" "locf" "stl"
#> [221] "auto.arima" "StructTS" "linear_i" "spline_i"
#> [225] "stine_i" "simple_ma" "linear_ma" "exponential_ma"
#> [229] "seadec" "locf" "stl" "auto.arima"
#> [233] "StructTS" "linear_i" "spline_i" "stine_i"
#> [237] "simple_ma" "linear_ma" "exponential_ma" "seadec"
#> [241] "locf" "stl" "auto.arima" "StructTS"
#> [245] "linear_i" "spline_i" "stine_i" "simple_ma"
#> [249] "linear_ma" "exponential_ma" "seadec" "locf"
#> [253] "stl" "auto.arima" "StructTS" "linear_i"
#> [257] "spline_i" "stine_i" "simple_ma" "linear_ma"
#> [261] "exponential_ma" "seadec" "locf" "stl"
#> [265] "auto.arima" "StructTS" "linear_i" "spline_i"
#> [269] "stine_i" "simple_ma" "linear_ma" "exponential_ma"
#> [273] "seadec" "locf" "stl" "auto.arima"
#> [277] "StructTS" "linear_i" "spline_i" "stine_i"
#> [281] "simple_ma" "linear_ma" "exponential_ma" "seadec"
#> [285] "locf" "stl" "auto.arima" "StructTS"
#> [289] "linear_i" "spline_i" "stine_i" "simple_ma"
#> [293] "linear_ma" "exponential_ma" "seadec" "locf"
#> [297] "stl" "auto.arima" "StructTS" "linear_i"
#> [301] "spline_i" "stine_i" "simple_ma" "linear_ma"
#> [305] "exponential_ma" "seadec" "locf" "stl"
#> [309] "auto.arima" "StructTS" "linear_i" "spline_i"
#> [313] "stine_i" "simple_ma" "linear_ma" "exponential_ma"
#> [317] "seadec" "locf" "stl" "auto.arima"
#> [321] "StructTS" "linear_i" "spline_i" "stine_i"
#> [325] "simple_ma" "linear_ma" "exponential_ma" "seadec"
#> [329] "locf" "stl" "auto.arima" "StructTS"
#> [333] "linear_i" "spline_i" "stine_i" "simple_ma"
#> [337] "linear_ma" "exponential_ma" "seadec" "locf"
#> [341] "stl" "auto.arima" "StructTS" "linear_i"
#> [345] "spline_i" "stine_i" "simple_ma" "linear_ma"
#> [349] "exponential_ma" "seadec" "locf" "stl"
#> [353] "auto.arima" "StructTS" "linear_i" "spline_i"
#> [357] "stine_i" "simple_ma" "linear_ma" "exponential_ma"
#> [361] "seadec" "locf" "stl" "auto.arima"
#> [365] "StructTS" "linear_i" "spline_i" "stine_i"
#> [369] "simple_ma" "linear_ma" "exponential_ma" "seadec"
#> [373] "locf" "stl" "auto.arima" "StructTS"
#> [377] "linear_i" "spline_i" "stine_i" "simple_ma"
#> [381] "linear_ma" "exponential_ma" "seadec" "locf"
#> [385] "stl" "auto.arima" "StructTS" "linear_i"
#> [389] "spline_i" "stine_i" "simple_ma" "linear_ma"
#> [393] "exponential_ma" "seadec" "locf" "stl"
#> [397] "auto.arima" "StructTS" "linear_i" "spline_i"
#> [401] "stine_i" "simple_ma" "linear_ma" "exponential_ma"
#> [405] "seadec" "locf" "stl" "auto.arima"
#> [409] "StructTS" "linear_i" "spline_i" "stine_i"
#> [413] "simple_ma" "linear_ma" "exponential_ma" "seadec"
#> [417] "locf" "stl" "auto.arima" "StructTS"
#> [421] "linear_i" "spline_i" "stine_i" "simple_ma"
#> [425] "linear_ma" "exponential_ma" "seadec" "locf"
#> [429] "stl" "auto.arima" "StructTS" "linear_i"
#> [433] "spline_i" "stine_i" "simple_ma" "linear_ma"
#> [437] "exponential_ma" "seadec" "locf" "stl"
#> [441] "auto.arima" "StructTS" "linear_i" "spline_i"
#> [445] "stine_i" "simple_ma" "linear_ma" "exponential_ma"
#> [449] "seadec" "locf" "stl" "auto.arima"
#> [453] "StructTS" "linear_i" "spline_i" "stine_i"
#> [457] "simple_ma" "linear_ma" "exponential_ma" "seadec"
#> [461] "locf" "stl" "auto.arima" "StructTS"
#> [465] "linear_i" "spline_i" "stine_i" "simple_ma"
#> [469] "linear_ma" "exponential_ma" "seadec" "locf"
#> [473] "stl" "auto.arima" "StructTS" "linear_i"
#> [477] "spline_i" "stine_i" "simple_ma" "linear_ma"
#> [481] "exponential_ma" "seadec" "locf" "stl"
#> [485] "auto.arima" "StructTS" "linear_i" "spline_i"
#> [489] "stine_i" "simple_ma" "linear_ma" "exponential_ma"
#> [493] "seadec" "locf" "stl" "auto.arima"
#> [497] "StructTS" "linear_i" "spline_i" "stine_i"
#> [501] "simple_ma" "linear_ma" "exponential_ma" "seadec"
#> [505] "locf" "stl" "auto.arima" "StructTS"
#> [509] "linear_i" "spline_i" "stine_i" "simple_ma"
#> [513] "linear_ma" "exponential_ma" "seadec" "locf"
#> [517] "stl" "auto.arima" "StructTS" "linear_i"
#> [521] "spline_i" "stine_i" "simple_ma" "linear_ma"
#> [525] "exponential_ma" "seadec" "locf" "stl"
#> [529] "auto.arima" "StructTS" "linear_i" "spline_i"
#> [533] "stine_i" "simple_ma" "linear_ma" "exponential_ma"
#> [537] "seadec" "locf" "stl" "auto.arima"
#> [541] "StructTS" "linear_i" "spline_i" "stine_i"
#> [545] "simple_ma" "linear_ma" "exponential_ma" "seadec"
#> [549] "locf" "stl" "auto.arima" "StructTS"
#> [553] "linear_i" "spline_i" "stine_i" "simple_ma"
#> [557] "linear_ma" "exponential_ma" "seadec" "locf"
#> [561] "stl" "auto.arima" "StructTS" "linear_i"
#> [565] "spline_i" "stine_i" "simple_ma" "linear_ma"
#> [569] "exponential_ma" "seadec" "locf" "stl"
#> [573] "auto.arima" "StructTS" "linear_i" "spline_i"
#> [577] "stine_i" "simple_ma" "linear_ma" "exponential_ma"
#> [581] "seadec" "locf" "stl" "auto.arima"
#> [585] "StructTS" "linear_i" "spline_i" "stine_i"
#> [589] "simple_ma" "linear_ma" "exponential_ma" "seadec"
#> [593] "locf" "stl" "auto.arima" "StructTS"
#> [597] "linear_i" "spline_i" "stine_i" "simple_ma"
#> [601] "linear_ma" "exponential_ma" "seadec" "locf"
#> [605] "stl" "auto.arima" "StructTS" "linear_i"
#> [609] "spline_i" "stine_i" "simple_ma" "linear_ma"
#> [613] "exponential_ma" "seadec" "locf" "stl"
#> [617] "auto.arima" "StructTS" "linear_i" "spline_i"
#> [621] "stine_i" "simple_ma" "linear_ma" "exponential_ma"
#> [625] "seadec" "locf" "stl" "auto.arima"
#> [629] "StructTS" "linear_i" "spline_i" "stine_i"
#> [633] "simple_ma" "linear_ma" "exponential_ma" "seadec"
#> [637] "locf" "stl" "auto.arima" "StructTS"
#> [641] "linear_i" "spline_i" "stine_i" "simple_ma"
#> [645] "linear_ma" "exponential_ma" "seadec" "locf"
#> [649] "stl" "auto.arima" "StructTS" "linear_i"
#> [653] "spline_i" "stine_i" "simple_ma" "linear_ma"
#> [657] "exponential_ma" "seadec" "locf" "stl"
#> [661] "auto.arima" "StructTS" "linear_i" "spline_i"
#> [665] "stine_i" "simple_ma" "linear_ma" "exponential_ma"
#> [669] "seadec" "locf" "stl" "auto.arima"
#> [673] "StructTS" "linear_i" "spline_i" "stine_i"
#> [677] "simple_ma" "linear_ma" "exponential_ma" "seadec"
#> [681] "locf" "stl" "auto.arima" "StructTS"
#> [685] "linear_i" "spline_i" "stine_i" "simple_ma"
#> [689] "linear_ma" "exponential_ma" "seadec" "locf"
#> [693] "stl" "auto.arima" "StructTS" "linear_i"
#> [697] "spline_i" "stine_i" "simple_ma" "linear_ma"
#> [701] "exponential_ma" "seadec" "locf" "stl"
#> [705] "auto.arima" "StructTS" "linear_i" "spline_i"
#> [709] "stine_i" "simple_ma" "linear_ma" "exponential_ma"
#> [713] "seadec" "locf" "stl" "auto.arima"
#> [717] "StructTS" "linear_i" "spline_i" "stine_i"
#> [721] "simple_ma" "linear_ma" "exponential_ma" "seadec"
#> [725] "locf" "stl" "auto.arima" "StructTS"
#> [729] "linear_i" "spline_i" "stine_i" "simple_ma"
#> [733] "linear_ma" "exponential_ma" "seadec" "locf"
#> [737] "stl" "auto.arima" "StructTS" "linear_i"
#> [741] "spline_i" "stine_i" "simple_ma" "linear_ma"
#> [745] "exponential_ma" "seadec" "locf" "stl"
#> [749] "auto.arima" "StructTS" "linear_i" "spline_i"
#> [753] "stine_i" "simple_ma" "linear_ma" "exponential_ma"
#> [757] "seadec" "locf" "stl" "auto.arima"
#> [761] "StructTS" "linear_i" "spline_i" "stine_i"
#> [765] "simple_ma" "linear_ma" "exponential_ma" "seadec"
#> [769] "locf" "stl" "auto.arima" "StructTS"
#> [773] "linear_i" "spline_i" "stine_i" "simple_ma"
#> [777] "linear_ma" "exponential_ma" "seadec" "locf"
#> [781] "stl" "auto.arima" "StructTS" "linear_i"
#> [785] "spline_i" "stine_i" "simple_ma" "linear_ma"
#> [789] "exponential_ma" "seadec" "locf" "stl"
#> [793] "auto.arima" "StructTS" "linear_i" "spline_i"
#> [797] "stine_i" "simple_ma" "linear_ma" "exponential_ma"
#> [801] "seadec" "locf" "stl" "auto.arima"
#> [805] "StructTS" "linear_i" "spline_i" "stine_i"
#> [809] "simple_ma" "linear_ma" "exponential_ma" "seadec"
#> [813] "locf" "stl" "auto.arima" "StructTS"
#> [817] "linear_i" "spline_i" "stine_i" "simple_ma"
#> [821] "linear_ma" "exponential_ma" "seadec" "locf"
#> [825] "stl" "auto.arima" "StructTS" "linear_i"
#> [829] "spline_i" "stine_i" "simple_ma" "linear_ma"
#> [833] "exponential_ma" "seadec" "locf" "stl"
#> [837] "auto.arima" "StructTS" "linear_i" "spline_i"
#> [841] "stine_i" "simple_ma" "linear_ma" "exponential_ma"
#> [845] "seadec" "locf" "stl" "auto.arima"
#> [849] "StructTS" "linear_i" "spline_i" "stine_i"
#> [853] "simple_ma" "linear_ma" "exponential_ma" "seadec"
#> [857] "locf" "stl" "auto.arima" "StructTS"
#> [861] "linear_i" "spline_i" "stine_i" "simple_ma"
#> [865] "linear_ma" "exponential_ma" "seadec" "locf"
#> [869] "stl" "auto.arima" "StructTS" "linear_i"
#> [873] "spline_i" "stine_i" "simple_ma" "linear_ma"
#> [877] "exponential_ma" "seadec" "locf" "stl"
#> [881] "auto.arima" "StructTS" "linear_i" "spline_i"
#> [885] "stine_i" "simple_ma" "linear_ma" "exponential_ma"
#> [889] "seadec" "locf" "stl" "auto.arima"
#> [893] "StructTS" "linear_i" "spline_i" "stine_i"
#> [897] "simple_ma" "linear_ma" "exponential_ma" "seadec"
#> [901] "locf" "stl" "auto.arima" "StructTS"
#> [905] "linear_i" "spline_i" "stine_i" "simple_ma"
#> [909] "linear_ma" "exponential_ma" "seadec" "locf"
#> [913] "stl" "auto.arima" "StructTS" "linear_i"
#> [917] "spline_i" "stine_i" "simple_ma" "linear_ma"
#> [921] "exponential_ma" "seadec" "locf" "stl"
#> [925] "auto.arima" "StructTS" "linear_i" "spline_i"
#> [929] "stine_i" "simple_ma" "linear_ma" "exponential_ma"
#> [933] "seadec" "locf" "stl" "auto.arima"
#> [937] "StructTS" "linear_i" "spline_i" "stine_i"
#> [941] "simple_ma" "linear_ma" "exponential_ma" "seadec"
#> [945] "locf" "stl" "auto.arima" "StructTS"
#> [949] "linear_i" "spline_i" "stine_i" "simple_ma"
#> [953] "linear_ma" "exponential_ma" "seadec" "locf"
#> [957] "stl" "auto.arima" "StructTS" "linear_i"
#> [961] "spline_i" "stine_i" "simple_ma" "linear_ma"
#> [965] "exponential_ma" "seadec" "locf" "stl"
#> [969] "auto.arima" "StructTS" "linear_i" "spline_i"
#> [973] "stine_i" "simple_ma" "linear_ma" "exponential_ma"
#> [977] "seadec" "locf" "stl" "auto.arima"
#> [981] "StructTS" "linear_i" "spline_i" "stine_i"
#> [985] "simple_ma" "linear_ma" "exponential_ma" "seadec"
#> [989] "locf" "stl" "auto.arima" "StructTS"
#> [993] "linear_i" "spline_i" "stine_i" "simple_ma"
#> [997] "linear_ma" "exponential_ma" "seadec" "locf"
#> [1001] "stl" "auto.arima" "StructTS" "linear_i"
#> [1005] "spline_i" "stine_i" "simple_ma" "linear_ma"
#> [1009] "exponential_ma" "seadec" "locf" "stl"
#> [1013] "auto.arima" "StructTS" "linear_i" "spline_i"
#> [1017] "stine_i" "simple_ma" "linear_ma" "exponential_ma"
#> [1021] "seadec" "locf" "stl" "auto.arima"
#> [1025] "StructTS" "linear_i" "spline_i" "stine_i"
#> [1029] "simple_ma" "linear_ma" "exponential_ma" "seadec"
#> [1033] "locf" "stl" "auto.arima" "StructTS"
#> [1037] "linear_i" "spline_i" "stine_i" "simple_ma"
#> [1041] "linear_ma" "exponential_ma" "seadec" "locf"
#> [1045] "stl" "auto.arima" "StructTS" "linear_i"
#> [1049] "spline_i" "stine_i" "simple_ma" "linear_ma"
#> [1053] "exponential_ma" "seadec" "locf" "stl"
#> [1057] "auto.arima" "StructTS" "linear_i" "spline_i"
#> [1061] "stine_i" "simple_ma" "linear_ma" "exponential_ma"
#> [1065] "seadec" "locf" "stl" "auto.arima"
#> [1069] "StructTS" "linear_i" "spline_i" "stine_i"
#> [1073] "simple_ma" "linear_ma" "exponential_ma" "seadec"
#> [1077] "locf" "stl" "auto.arima" "StructTS"
#> [1081] "linear_i" "spline_i" "stine_i" "simple_ma"
#> [1085] "linear_ma" "exponential_ma" "seadec" "locf"
#> [1089] "stl" "auto.arima" "StructTS" "linear_i"
#> [1093] "spline_i" "stine_i" "simple_ma" "linear_ma"
#> [1097] "exponential_ma" "seadec" "locf" "stl"
#> [1101] "auto.arima" "StructTS" "linear_i" "spline_i"
#> [1105] "stine_i" "simple_ma" "linear_ma" "exponential_ma"
#> [1109] "seadec" "locf" "stl" "auto.arima"
#> [1113] "StructTS" "linear_i" "spline_i" "stine_i"
#> [1117] "simple_ma" "linear_ma" "exponential_ma" "seadec"
#> [1121] "locf" "stl" "auto.arima" "StructTS"
#> [1125] "linear_i" "spline_i" "stine_i" "simple_ma"
#> [1129] "linear_ma" "exponential_ma" "seadec" "locf"
#> [1133] "stl" "auto.arima" "StructTS" "linear_i"
#> [1137] "spline_i" "stine_i" "simple_ma" "linear_ma"
#> [1141] "exponential_ma" "seadec" "locf" "stl"
#> [1145] "auto.arima" "StructTS" "linear_i" "spline_i"
#> [1149] "stine_i" "simple_ma" "linear_ma" "exponential_ma"
#> [1153] "seadec" "locf" "stl" "auto.arima"
#> [1157] "StructTS" "linear_i" "spline_i" "stine_i"
#> [1161] "simple_ma" "linear_ma" "exponential_ma" "seadec"
#> [1165] "locf" "stl" "auto.arima" "StructTS"
#> [1169] "linear_i" "spline_i" "stine_i" "simple_ma"
#> [1173] "linear_ma" "exponential_ma" "seadec" "locf"
#> [1177] "stl" "auto.arima" "StructTS" "linear_i"
#> [1181] "spline_i" "stine_i" "simple_ma" "linear_ma"
#> [1185] "exponential_ma" "seadec" "locf" "stl"
#> [1189] "auto.arima" "StructTS" "linear_i" "spline_i"
#> [1193] "stine_i" "simple_ma" "linear_ma" "exponential_ma"
#> [1197] "seadec" "locf" "stl" "auto.arima"
#> [1201] "StructTS" "linear_i" "spline_i" "stine_i"
#> [1205] "simple_ma" "linear_ma" "exponential_ma" "seadec"
#> [1209] "locf" "stl"
#>
#> $percent_md
#> [1] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [8] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [15] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [22] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [29] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [36] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [43] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [50] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [57] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [64] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [71] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [78] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [85] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [92] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [99] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [106] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [113] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [120] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [127] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [134] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [141] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [148] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [155] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [162] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [169] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [176] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [183] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [190] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [197] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [204] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [211] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [218] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [225] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [232] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [239] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [246] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [253] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [260] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [267] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [274] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [281] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [288] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [295] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [302] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [309] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [316] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [323] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [330] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [337] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [344] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [351] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [358] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [365] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [372] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [379] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [386] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [393] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [400] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [407] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [414] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [421] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [428] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [435] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [442] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [449] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [456] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [463] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [470] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [477] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [484] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [491] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [498] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [505] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [512] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [519] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [526] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [533] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [540] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [547] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [554] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [561] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [568] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [575] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [582] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [589] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [596] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [603] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [610] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [617] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [624] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [631] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [638] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [645] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [652] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [659] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [666] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [673] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [680] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [687] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [694] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [701] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [708] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [715] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [722] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [729] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [736] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [743] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [750] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [757] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [764] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [771] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [778] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [785] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [792] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [799] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [806] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [813] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [820] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [827] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [834] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [841] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [848] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [855] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [862] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [869] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [876] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [883] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [890] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [897] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [904] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [911] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [918] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [925] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [932] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [939] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [946] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [953] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [960] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [967] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [974] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [981] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [988] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [995] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1002] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1009] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1016] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1023] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1030] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1037] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1044] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1051] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1058] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1065] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1072] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1079] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1086] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1093] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1100] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1107] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1114] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1121] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1128] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1135] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1142] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1149] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1156] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1163] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1170] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1177] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1184] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1191] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1198] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [1205] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#>
#> $rmse
#> [1] 50.221686 11.279754 11.279754 15.404245 10.834129 15.258470 13.738451
#> [8] 12.774625 11.279754 22.184072 11.279754 12.363469 12.391737 12.391737
#> [15] 12.932340 12.208707 15.720242 14.887102 14.329378 12.391737 14.025445
#> [22] 12.391737 15.039329 14.979487 14.979487 15.443394 14.890865 17.253864
#> [29] 16.061506 15.289299 14.979487 17.833316 14.979487 15.274981 15.248805
#> [36] 15.248805 15.622024 15.224208 18.663178 17.575603 16.821556 15.248805
#> [43] 20.796697 15.248805 12.398602 12.499905 12.499905 13.261475 12.415817
#> [50] 15.201050 14.111100 13.394562 12.499905 19.229133 12.499905 17.247500
#> [57] 14.607728 14.607728 15.579394 14.419788 17.822872 16.511860 15.624091
#> [64] 14.607728 20.582133 14.607728 17.715257 14.470313 14.470313 18.433765
#> [71] 14.944087 16.400889 15.598283 15.287259 14.470313 24.626406 14.470313
#> [78] 23.033940 21.283351 20.827812 24.046719 22.660995 26.832282 26.086476
#> [85] 25.939720 21.283351 29.812517 20.827812 10.652332 8.299808 8.299808
#> [92] 14.469257 8.006617 12.743000 11.302283 10.232836 8.299808 14.918819
#> [99] 8.299808 11.936354 11.914263 11.914263 12.771628 11.946959 15.630361
#> [106] 14.495498 13.865815 11.914263 15.511442 11.914263 50.778927 11.416010
#> [113] 11.416010 15.700939 10.906597 15.688577 14.105789 13.089013 11.416010
#> [120] 23.039145 11.416010 12.675561 12.677636 12.677636 13.321611 12.690483
#> [127] 16.165431 15.243108 14.612766 12.677636 15.247300 12.677636 14.730985
#> [134] 14.656306 14.656306 15.308836 14.498074 17.342356 15.994715 15.110012
#> [141] 14.656306 18.088349 14.656306 15.144504 15.113122 15.113122 15.496763
#> [148] 15.112598 18.695637 17.534308 16.739074 15.113122 21.066361 15.113122
#> [155] 13.008340 13.038052 13.038052 14.117175 12.869269 15.585648 14.525109
#> [162] 13.854004 13.038052 20.699457 13.038052 16.144690 14.701227 14.701227
#> [169] 15.944633 14.521111 17.934534 16.588928 15.686954 14.701227 21.226479
#> [176] 14.701227 17.054296 14.488109 14.488109 18.658043 14.962098 16.199735
#> [183] 15.403544 15.131278 14.488109 25.144112 14.488109 22.456275 20.914784
#> [190] 20.914784 24.237998 22.796988 27.096274 26.275927 26.083842 20.914784
#> [197] 30.270314 20.914784 10.427511 8.016606 8.016606 14.366011 7.697912
#> [204] 12.913452 11.320578 10.140590 8.016606 15.813309 8.016606 12.075099
#> [211] 12.056463 12.056463 13.068018 12.069692 15.906688 14.707935 14.034872
#> [218] 12.056463 15.954792 12.056463 50.167565 11.281992 11.281992 15.387639
#> [225] 10.836436 15.267365 13.747912 12.784090 11.281992 22.214040 11.281992
#> [232] 12.326120 12.357603 12.357603 12.899645 12.177936 15.699465 14.864047
#> [239] 14.304652 12.357603 13.995134 12.357603 15.009947 14.951648 14.951648
#> [246] 15.419657 14.857414 17.223866 16.028475 15.255552 14.951648 17.812350
#> [253] 14.951648 15.266586 15.241303 15.241303 15.630513 15.219178 18.654702
#> [260] 17.566043 16.811591 15.241303 20.801758 15.241303 12.392650 12.496975
#> [267] 12.496975 13.251864 12.413543 15.217029 14.122635 13.402964 12.496975
#> [274] 19.281454 12.496975 17.297322 14.588236 14.588236 15.572004 14.398597
#> [281] 17.824012 16.505774 15.612543 14.588236 20.569759 14.588236 17.757552
#> [288] 14.467713 14.467713 18.424616 14.938307 16.407343 15.601233 15.288107
#> [295] 14.467713 24.601752 14.467713 23.026478 21.279178 20.808853 24.020195
#> [302] 22.641259 26.822581 26.075604 25.928260 21.279178 29.802385 20.808853
#> [309] 10.647220 8.292648 8.292648 14.485447 7.988480 12.741706 11.299380
#> [316] 10.229302 8.292648 14.933467 8.292648 11.927025 11.906723 11.906723
#> [323] 12.758661 11.953970 15.625853 14.488826 13.858193 11.906723 15.488190
#> [330] 11.906723 22.259491 11.113714 11.113714 15.041749 10.581744 15.366377
#> [337] 13.767256 12.760662 11.113714 23.072641 11.113714 11.875777 11.916329
#> [344] 11.916329 12.406262 11.825217 15.637946 14.680293 14.039066 11.916329
#> [351] 14.619000 11.916329 15.023272 14.393328 14.393328 15.010105 14.328565
#> [358] 17.047867 15.688268 14.805929 14.393328 17.900238 14.393328 14.967369
#> [365] 14.941498 14.941498 15.346982 14.916838 18.549544 17.381757 16.581129
#> [372] 14.941498 20.977601 14.941498 12.496380 12.635793 12.635793 13.256853
#> [379] 12.426943 15.273364 14.189356 13.514356 12.635793 20.816063 12.635793
#> [386] 17.937445 14.026802 14.026802 15.122076 13.802382 17.637386 16.163389
#> [393] 15.164659 14.026802 20.669927 14.026802 18.424712 14.240036 14.240036
#> [400] 18.448544 14.687335 16.241998 15.366855 15.033171 14.240036 24.871750
#> [407] 14.240036 23.573861 21.640903 20.410219 23.689077 22.278853 26.733547
#> [414] 25.894452 25.697266 21.640903 30.094326 20.410219 10.350331 7.926028
#> [421] 7.926028 14.630666 7.628573 12.742413 11.193803 10.053666 7.926028
#> [428] 15.792174 7.926028 11.659662 11.636370 11.636370 12.405059 11.620866
#> [435] 15.718630 14.463788 13.756585 11.636370 15.722255 11.636370 50.056439
#> [442] 11.260047 11.260047 15.310158 10.815080 15.261989 13.735984 12.770986
#> [449] 11.260047 22.362523 11.260047 12.280846 12.311758 12.311758 12.851856
#> [456] 12.125276 15.685703 14.840342 14.274405 12.311758 14.027506 12.311758
#> [463] 14.936327 14.878172 14.878172 15.350556 14.775791 17.178560 15.967770
#> [470] 15.185259 14.878172 17.840235 14.878172 15.221312 15.196130 15.196130
#> [477] 15.569889 15.170750 18.630144 17.531396 16.770657 15.196130 20.837183
#> [484] 15.196130 12.391751 12.498635 12.498635 13.199489 12.415489 15.216431
#> [491] 14.125468 13.410671 12.498635 19.440839 12.498635 17.353900 14.482998
#> [498] 14.482998 15.472901 14.280207 17.787362 16.445999 15.536383 14.482998
#> [505] 20.559534 14.482998 17.800202 14.403641 14.403641 18.363787 14.857874
#> [512] 16.383266 15.562852 15.241237 14.403641 24.621528 14.403641 23.239831
#> [519] 21.306290 20.757633 23.963568 22.589213 26.812435 26.056962 25.903861
#> [526] 21.306290 29.797184 20.757633 10.607893 8.244319 8.244319 14.450491
#> [533] 7.943276 12.736769 11.286347 10.209505 8.244319 15.031114 8.244319
#> [540] 11.869988 11.849423 11.849423 12.691907 11.894045 15.623956 14.470118
#> [547] 13.827750 11.849423 15.483506 11.849423 27.493726 12.761797 12.586235
#> [554] 18.130851 12.575204 15.290819 14.048072 13.304611 12.761797 21.393024
#> [561] 12.586235 14.423156 14.363384 14.383059 15.901291 14.542798 16.246088
#> [568] 15.743299 15.443617 14.363384 14.414951 14.383059 17.444632 17.357303
#> [575] 17.357303 18.993291 17.415226 18.224793 17.491301 17.065352 17.357303
#> [582] 18.763759 17.357303 16.683079 16.710341 16.644866 17.215992 16.604212
#> [589] 19.166721 18.355699 17.798176 16.710341 21.230993 16.644866 13.361496
#> [596] 13.285033 13.391581 17.073352 13.744517 15.123036 14.171317 13.551774
#> [603] 13.285033 16.728437 13.391581 17.737233 16.962483 16.962483 18.647220
#> [610] 16.887989 18.595311 17.745531 17.215946 16.962483 21.328131 16.962483
#> [617] 22.454317 15.428974 15.553166 19.831813 16.063963 16.657768 16.113785
#> [624] 15.973359 15.428974 24.821958 15.553166 22.396671 22.314902 22.314902
#> [631] 26.346787 24.181274 27.141600 26.631986 26.657499 22.314902 30.034072
#> [638] 22.314902 50.025771 10.789070 10.587000 16.032534 10.705799 13.226513
#> [645] 12.181496 11.471674 10.789070 14.092179 10.587000 13.205510 13.201622
#> [652] 13.180804 14.824816 13.348217 15.651898 14.843534 14.456313 13.201622
#> [659] 15.950542 13.180804 26.268096 12.225727 12.132102 17.277611 12.139282
#> [666] 15.237524 13.914181 13.101002 12.225727 21.321220 12.132102 13.790859
#> [673] 13.733071 13.733071 14.934900 13.855708 16.058655 15.458267 15.077355
#> [680] 13.733071 14.077120 13.733071 16.740939 16.664931 16.664931 17.840117
#> [687] 16.626132 17.946148 17.090320 16.567375 16.664931 18.474645 16.664931
#> [694] 16.259269 16.226250 16.226250 16.697683 16.189406 19.009348 18.125402
#> [701] 17.512831 16.226250 21.031799 16.226250 12.934398 12.982998 12.982998
#> [708] 15.713045 13.346633 15.117614 14.100365 13.422682 12.982998 16.991243
#> [715] 12.982998 17.192758 16.297571 16.297571 17.682468 16.190201 18.380951
#> [722] 17.412764 16.787947 16.297571 21.035007 16.297571 15.508502 15.237103
#> [729] 15.237103 19.419869 15.751871 16.564155 15.953448 15.767739 15.237103
#> [736] 24.698304 15.237103 21.915731 21.844694 21.844694 25.559290 23.703742
#> [743] 27.031625 26.456682 26.431449 21.844694 29.872735 21.844694 49.215193
#> [750] 10.089676 9.894448 15.385678 9.988064 13.059933 11.900656 11.081611
#> [757] 10.089676 14.051543 9.894448 12.815067 12.802466 12.792784 14.160061
#> [764] 12.963184 15.610399 14.720366 14.269068 12.802466 15.735409 12.792784
#> [771] 25.277508 11.814929 11.814413 16.638114 11.764060 15.208673 13.825061
#> [778] 12.962022 11.814929 21.404525 11.814413 13.293462 13.246709 13.246709
#> [785] 14.240778 13.313315 15.919035 15.242472 14.800259 13.246709 13.929871
#> [792] 13.246709 16.207181 16.138480 16.138480 17.009259 16.044906 17.725945
#> [799] 16.773067 16.175640 16.138480 18.291801 16.138480 15.944192 15.914335
#> [806] 15.914335 16.334855 15.870995 18.886499 17.945555 17.291483 15.914335
#> [813] 20.931175 15.914335 12.656821 12.720322 12.720322 14.743128 13.018605
#> [820] 15.121958 14.061366 13.349032 12.720322 17.411870 12.720322 16.768453
#> [827] 15.780782 15.780782 16.966128 15.630159 18.210014 17.144506 16.443309
#> [834] 15.780782 20.861412 15.780782 16.322912 14.997045 14.997045 19.133380
#> [841] 15.496858 16.492477 15.826739 15.605031 14.997045 24.626026 14.997045
#> [848] 21.557301 21.492063 21.492063 25.007341 23.346489 26.947679 26.321468
#> [855] 26.257914 21.492063 29.800157 21.492063 48.587724 9.514619 9.362762
#> [862] 14.955560 9.385416 12.938939 11.689593 10.786277 9.514619 14.147345
#> [869] 9.362762 12.521906 12.501001 12.501001 13.678820 12.640675 15.588929
#> [876] 14.631129 14.128261 12.501001 15.618326 12.501001 50.296711 11.435344
#> [883] 11.435344 15.451474 10.947005 15.635422 14.067491 13.073000 11.435344
#> [890] 23.350905 11.435344 12.449841 12.451495 12.451495 13.213497 12.503761
#> [897] 16.068754 15.118651 14.461533 12.451495 14.801236 12.451495 14.762915
#> [904] 14.691281 14.691281 15.364559 14.562212 17.394974 16.037220 15.150773
#> [911] 14.691281 18.028799 14.691281 14.906733 14.992812 14.992812 15.501957
#> [918] 15.042444 18.408231 17.268191 16.505550 14.992812 21.044748 14.992812
#> [925] 12.736494 12.868937 12.868937 13.920082 12.831486 15.416009 14.338181
#> [932] 13.649025 12.868937 20.246656 12.868937 16.151771 14.542671 14.542671
#> [939] 15.942264 14.418631 17.769480 16.402909 15.492698 14.542671 21.096137
#> [946] 14.542671 21.565943 14.469191 14.469191 18.730819 14.952505 16.172067
#> [953] 15.362458 15.089436 14.469191 25.097344 14.469191 22.902582 20.853076
#> [960] 20.853076 24.190036 22.736391 27.039477 26.219478 26.026767 20.853076
#> [967] 30.054985 20.853076 10.369312 7.946036 7.946036 14.623553 7.618711
#> [974] 12.696906 11.096916 9.928738 7.946036 15.567901 7.946036 12.021549
#> [981] 12.004341 12.004341 13.082529 12.042803 15.858561 14.649043 13.970968
#> [988] 12.004341 15.846664 12.004341 51.053600 12.050568 12.050568 15.138693
#> [995] 11.729459 16.013730 14.443621 13.476852 12.050568 25.041376 12.050568
#> [1002] 13.159921 13.035029 13.035029 14.088905 13.086901 16.226703 15.357928
#> [1009] 14.798177 13.035029 18.959358 13.035029 15.290600 15.215724 15.215724
#> [1016] 17.121897 15.355867 17.437885 16.123792 15.301072 15.215724 22.148055
#> [1023] 15.215724 15.809821 15.773766 15.773766 16.367557 15.766465 19.212135
#> [1030] 18.041738 17.228412 15.773766 23.497227 15.773766 50.304304 13.712013
#> [1037] 13.712013 15.611558 13.987876 15.807408 14.793537 14.239666 13.712013
#> [1044] 24.584192 13.712013 16.338563 15.087523 15.087523 15.445483 14.995906
#> [1051] 17.920400 16.584671 15.701721 15.087523 24.203288 15.087523 16.434090
#> [1058] 14.813108 14.813108 19.398270 15.417556 16.712649 15.842063 15.481131
#> [1065] 14.813108 26.782999 14.813108 23.704346 21.450776 21.450776 25.243549
#> [1072] 23.344083 27.266430 26.481923 26.316622 21.450776 32.321932 21.450776
#> [1079] 10.594149 8.250248 8.244523 13.330980 8.377669 12.696254 11.011623
#> [1086] 9.798268 8.250248 18.461151 8.244523 12.754762 12.691618 12.691618
#> [1093] 13.874038 12.792639 16.607165 15.374299 14.674141 12.691618 18.866886
#> [1100] 12.691618 50.924649 11.642532 11.642532 16.154096 11.292736 15.818590
#> [1107] 14.201452 13.175389 11.642532 22.942341 11.642532 12.181318 12.096111
#> [1114] 12.096111 13.264023 12.239771 15.758766 14.736273 14.048819 12.096111
#> [1121] 15.027071 12.096111 14.608581 14.536982 14.536982 15.401543 14.467498
#> [1128] 17.114647 15.753269 14.880336 14.536982 17.988763 14.536982 15.244858
#> [1135] 15.206583 15.206583 15.517670 15.273648 18.703200 17.574103 16.821780
#> [1142] 15.206583 20.956913 15.206583 12.886952 12.816024 12.816024 13.972483
#> [1149] 12.860561 15.330653 14.222553 13.513911 12.816024 19.784168 12.816024
#> [1156] 16.310331 14.727551 14.727551 16.134660 14.648712 17.875690 16.560549
#> [1163] 15.685501 14.727551 21.100048 14.727551 17.308189 14.586120 14.586120
#> [1170] 18.951560 15.052545 15.947620 15.204188 15.018036 14.586120 25.617467
#> [1177] 14.586120 22.561793 20.604356 20.604356 23.901040 22.540652 26.900891
#> [1184] 26.036695 25.827792 20.604356 30.277688 20.604356 11.102791 8.861767
#> [1191] 8.861767 15.866277 8.653696 13.012137 11.538904 10.495082 8.861767
#> [1198] 15.375073 8.861767 12.069895 12.051003 12.051003 12.871969 12.105541
#> [1205] 15.745543 14.596918 13.979741 12.051003 16.012617 12.051003
#>
#> $cor
#> [1] 0.8518680 0.9909809 0.9909809 0.9831279 0.9916850 0.9834326 0.9865799
#> [8] 0.9883968 0.9909809 0.9654332 0.9909809 0.9891170 0.9890651 0.9890651
#> [15] 0.9881083 0.9893883 0.9824274 0.9842350 0.9853879 0.9890651 0.9861424
#> [22] 0.9890651 0.9840302 0.9841388 0.9841388 0.9831951 0.9843441 0.9790649
#> [29] 0.9818565 0.9835387 0.9841388 0.9776037 0.9841388 0.9835267 0.9835755
#> [36] 0.9835755 0.9826373 0.9836363 0.9754816 0.9782752 0.9800963 0.9835755
#> [43] 0.9691597 0.9835755 0.9891067 0.9889399 0.9889399 0.9875522 0.9890899
#> [50] 0.9835973 0.9858692 0.9872772 0.9889399 0.9755390 0.9889399 0.9790052
#> [57] 0.9847870 0.9847870 0.9828012 0.9851734 0.9775372 0.9807081 0.9826977
#> [64] 0.9847870 0.9701414 0.9847870 0.9780957 0.9852060 0.9852060 0.9764048
#> [71] 0.9842123 0.9809036 0.9827428 0.9834298 0.9852060 0.9570487 0.9852060
#> [78] 0.9623073 0.9677903 0.9691684 0.9589596 0.9635016 0.9489966 0.9517755
#> [85] 0.9523390 0.9677903 0.9406359 0.9691684 0.9920213 0.9950925 0.9950925
#> [92] 0.9852866 0.9954311 0.9884340 0.9909000 0.9925412 0.9950925 0.9843367
#> [99] 0.9950925 0.9898964 0.9899222 0.9899222 0.9884830 0.9898764 0.9826345
#> [106] 0.9850611 0.9863216 0.9899222 0.9829127 0.9899222 0.8516054 0.9908888
#> [113] 0.9908888 0.9827918 0.9916827 0.9827793 0.9860831 0.9880146 0.9908888
#> [120] 0.9636111 0.9908888 0.9887718 0.9887594 0.9887594 0.9876553 0.9887377
#> [127] 0.9817344 0.9837565 0.9850695 0.9887594 0.9840467 0.9887594 0.9849704
#> [134] 0.9850994 0.9850994 0.9838271 0.9854363 0.9791411 0.9822733 0.9841770
#> [141] 0.9850994 0.9773809 0.9850994 0.9840511 0.9841084 0.9841084 0.9831810
#> [148] 0.9841004 0.9757740 0.9787095 0.9805942 0.9841084 0.9689258 0.9841084
#> [155] 0.9882589 0.9882253 0.9882253 0.9861570 0.9885212 0.9831281 0.9853552
#> [162] 0.9866930 0.9882253 0.9724025 0.9882253 0.9818477 0.9848564 0.9848564
#> [169] 0.9823438 0.9852261 0.9776170 0.9808356 0.9828349 0.9848564 0.9688356
#> [176] 0.9848564 0.9799424 0.9854064 0.9854064 0.9761851 0.9844311 0.9816935
#> [183] 0.9834635 0.9840463 0.9854064 0.9559428 0.9854064 0.9647829 0.9694120
#> [190] 0.9694120 0.9590794 0.9637101 0.9488905 0.9519224 0.9526537 0.9694120
#> [197] 0.9401837 0.9694120 0.9925127 0.9955108 0.9955108 0.9857736 0.9958578
#> [204] 0.9883601 0.9910518 0.9928212 0.9955108 0.9827474 0.9955108 0.9898312
#> [211] 0.9898508 0.9898508 0.9881143 0.9898281 0.9823118 0.9848768 0.9862227
#> [218] 0.9898508 0.9822279 0.9898508 0.8524000 0.9909896 0.9909896 0.9831880
#> [225] 0.9916925 0.9834406 0.9865832 0.9883981 0.9909896 0.9654108 0.9909896
#> [232] 0.9891969 0.9891396 0.9891396 0.9881896 0.9894546 0.9824962 0.9843040
#> [239] 0.9854573 0.9891396 0.9862175 0.9891396 0.9841086 0.9842142 0.9842142
#> [246] 0.9832653 0.9844298 0.9791595 0.9819489 0.9836270 0.9842142 0.9776917
#> [253] 0.9842142 0.9835669 0.9836141 0.9836141 0.9826452 0.9836709 0.9755368
#> [260] 0.9783276 0.9801460 0.9836141 0.9691951 0.9836141 0.9891387 0.9889680
#> [267] 0.9889680 0.9875957 0.9891169 0.9835946 0.9858739 0.9872868 0.9889680
#> [274] 0.9754749 0.9889680 0.9789330 0.9848512 0.9848512 0.9828517 0.9852406
#> [281] 0.9775677 0.9807505 0.9827485 0.9848512 0.9702322 0.9848512 0.9780458
#> [288] 0.9852438 0.9852438 0.9764817 0.9842590 0.9809238 0.9827693 0.9834605
#> [295] 0.9852438 0.9572118 0.9852438 0.9623900 0.9678501 0.9692649 0.9591168
#> [302] 0.9636187 0.9491057 0.9518853 0.9524522 0.9678501 0.9408069 0.9692649
#> [309] 0.9920434 0.9951106 0.9951106 0.9852854 0.9954603 0.9884577 0.9909216
#> [316] 0.9925606 0.9951106 0.9843348 0.9951106 0.9899235 0.9899469 0.9899469
#> [323] 0.9885172 0.9898761 0.9826685 0.9850953 0.9863554 0.9899469 0.9829887
#> [330] 0.9899469 0.9673655 0.9913317 0.9913317 0.9840801 0.9921422 0.9833923
#> [337] 0.9866800 0.9885549 0.9913317 0.9632624 0.9913317 0.9900670 0.9899948
#> [344] 0.9899948 0.9892016 0.9901508 0.9827939 0.9848315 0.9861218 0.9899948
#> [351] 0.9851269 0.9899948 0.9841959 0.9855005 0.9855005 0.9842716 0.9856438
#> [358] 0.9797623 0.9828618 0.9847151 0.9855005 0.9777036 0.9855005 0.9843391
#> [365] 0.9843864 0.9843864 0.9834077 0.9844425 0.9760614 0.9789964 0.9808782
#> [372] 0.9843864 0.9689881 0.9843864 0.9890907 0.9888647 0.9888647 0.9877670
#> [379] 0.9892174 0.9836435 0.9858929 0.9872196 0.9888647 0.9719299 0.9888647
#> [386] 0.9778296 0.9861262 0.9861262 0.9840312 0.9865664 0.9782425 0.9817180
#> [393] 0.9838798 0.9861262 0.9702749 0.9861262 0.9766272 0.9858476 0.9858476
#> [400] 0.9766030 0.9849278 0.9815028 0.9834634 0.9841799 0.9858476 0.9566331
#> [407] 0.9858476 0.9609911 0.9670822 0.9707000 0.9606442 0.9651127 0.9499007
#> [414] 0.9529824 0.9537232 0.9670822 0.9406105 0.9707000 0.9925800 0.9955906
#> [421] 0.9955906 0.9852519 0.9959106 0.9885769 0.9911859 0.9928938 0.9955906
#> [428] 0.9826915 0.9955906 0.9904655 0.9904920 0.9904920 0.9892523 0.9905260
#> [435] 0.9826240 0.9852867 0.9866825 0.9904920 0.9826388 0.9904920 0.8531298
#> [442] 0.9910309 0.9910309 0.9833658 0.9917307 0.9834665 0.9866184 0.9884320
#> [449] 0.9910309 0.9649995 0.9910309 0.9892838 0.9892278 0.9892278 0.9882884
#> [456] 0.9895532 0.9825403 0.9843659 0.9855295 0.9892278 0.9861621 0.9892278
#> [463] 0.9842730 0.9843777 0.9843777 0.9834227 0.9846084 0.9792853 0.9820985
#> [470] 0.9837884 0.9843777 0.9776426 0.9843777 0.9836737 0.9837205 0.9837205
#> [477] 0.9827901 0.9837837 0.9756233 0.9784318 0.9802587 0.9837205 0.9691141
#> [484] 0.9837205 0.9891512 0.9889766 0.9889766 0.9877087 0.9891249 0.9836074
#> [491] 0.9858790 0.9872827 0.9889766 0.9751163 0.9889766 0.9788461 0.9850798
#> [498] 0.9850798 0.9830912 0.9854931 0.9776771 0.9809049 0.9829299 0.9850798
#> [505] 0.9702878 0.9850798 0.9779752 0.9853899 0.9853899 0.9766597 0.9844429
#> [512] 0.9809981 0.9828715 0.9835789 0.9853899 0.9571739 0.9853899 0.9617247
#> [519] 0.9677961 0.9694408 0.9593470 0.9638154 0.9491837 0.9519910 0.9525778
#> [526] 0.9677961 0.9408844 0.9694408 0.9921082 0.9951718 0.9951718 0.9853708
#> [533] 0.9955154 0.9884754 0.9909496 0.9925953 0.9951718 0.9841450 0.9951718
#> [540] 0.9900276 0.9900511 0.9900511 0.9886459 0.9899852 0.9826850 0.9851446
#> [547] 0.9864253 0.9900511 0.9830105 0.9900511 0.9487777 0.9882458 0.9885707
#> [554] 0.9762428 0.9886111 0.9830377 0.9856953 0.9871733 0.9882458 0.9669355
#> [561] 0.9885707 0.9849426 0.9850506 0.9850072 0.9816611 0.9846749 0.9808970
#> [568] 0.9820541 0.9827239 0.9850506 0.9851381 0.9850072 0.9781692 0.9783585
#> [575] 0.9783585 0.9741849 0.9782311 0.9762314 0.9781045 0.9791417 0.9783585
#> [582] 0.9746867 0.9783585 0.9800186 0.9799469 0.9800962 0.9785564 0.9801916
#> [589] 0.9736446 0.9758520 0.9773006 0.9799469 0.9672667 0.9800962 0.9870727
#> [596] 0.9872166 0.9870134 0.9789570 0.9863218 0.9834268 0.9854446 0.9866908
#> [603] 0.9872166 0.9806232 0.9870134 0.9771749 0.9791168 0.9791168 0.9747973
#> [610] 0.9792907 0.9750988 0.9772990 0.9785969 0.9791168 0.9672113 0.9791168
#> [617] 0.9657610 0.9827946 0.9825319 0.9721972 0.9813697 0.9798842 0.9811806
#> [624] 0.9815083 0.9827946 0.9556102 0.9825319 0.9637320 0.9639732 0.9639732
#> [631] 0.9497872 0.9576736 0.9468703 0.9488244 0.9487410 0.9639732 0.9378744
#> [638] 0.9639732 0.8499427 0.9915465 0.9918634 0.9813835 0.9916861 0.9872898
#> [645] 0.9892181 0.9904384 0.9915465 0.9857068 0.9918634 0.9873943 0.9873850
#> [652] 0.9874253 0.9841393 0.9871101 0.9822872 0.9840554 0.9848593 0.9873850
#> [659] 0.9815728 0.9874253 0.9533930 0.9892609 0.9894261 0.9785068 0.9894399
#> [666] 0.9832311 0.9860288 0.9876170 0.9892609 0.9673526 0.9894261 0.9862837
#> [673] 0.9863866 0.9863866 0.9838913 0.9861463 0.9814107 0.9827681 0.9836003
#> [680] 0.9863866 0.9858686 0.9863866 0.9799677 0.9801248 0.9801248 0.9773151
#> [687] 0.9802383 0.9770452 0.9791805 0.9804180 0.9801248 0.9755744 0.9801248
#> [694] 0.9810992 0.9811646 0.9811646 0.9799149 0.9812513 0.9741906 0.9765584
#> [701] 0.9781191 0.9811646 0.9680116 0.9811646 0.9879415 0.9878534 0.9878534
#> [708] 0.9822410 0.9871605 0.9835192 0.9856603 0.9870076 0.9878534 0.9802250
#> [715] 0.9878534 0.9786489 0.9808042 0.9808042 0.9774441 0.9810476 0.9757742
#> [722] 0.9782392 0.9797388 0.9808042 0.9682643 0.9808042 0.9827332 0.9833222
#> [729] 0.9833222 0.9734610 0.9821787 0.9802071 0.9816465 0.9820736 0.9833222
#> [736] 0.9562301 0.9833222 0.9654096 0.9656147 0.9656147 0.9529441 0.9594993
#> [743] 0.9475210 0.9497082 0.9498209 0.9656147 0.9390015 0.9656147 0.8551195
#> [750] 0.9926373 0.9929206 0.9829538 0.9927904 0.9876647 0.9897556 0.9911168
#> [757] 0.9926373 0.9858581 0.9929206 0.9881820 0.9881908 0.9882092 0.9856073
#> [764] 0.9878998 0.9824504 0.9843836 0.9853118 0.9881908 0.9821476 0.9882092
#> [771] 0.9569896 0.9900099 0.9900108 0.9801380 0.9901230 0.9833631 0.9862635
#> [778] 0.9879269 0.9900099 0.9672855 0.9900108 0.9872984 0.9873803 0.9873803
#> [785] 0.9854132 0.9872580 0.9818002 0.9833081 0.9842562 0.9873803 0.9862023
#> [792] 0.9873803 0.9812846 0.9814214 0.9814214 0.9794482 0.9816581 0.9776860
#> [799] 0.9800177 0.9813974 0.9814214 0.9761586 0.9814214 0.9818900 0.9819480
#> [806] 0.9819480 0.9808495 0.9820526 0.9746259 0.9771132 0.9787526 0.9819480
#> [813] 0.9684386 0.9819480 0.9885050 0.9883950 0.9883950 0.9844255 0.9878367
#> [820] 0.9835826 0.9858035 0.9872087 0.9883950 0.9794353 0.9883950 0.9797766
#> [827] 0.9820712 0.9820712 0.9793287 0.9824046 0.9763151 0.9789886 0.9806400
#> [834] 0.9820712 0.9689314 0.9820712 0.9810623 0.9839203 0.9839203 0.9743456
#> [841] 0.9828325 0.9804654 0.9820199 0.9825234 0.9839203 0.9566496 0.9839203
#> [848] 0.9666540 0.9668391 0.9668391 0.9551348 0.9608603 0.9480451 0.9504112
#> [855] 0.9506691 0.9668391 0.9397020 0.9668391 0.8591596 0.9934778 0.9936846
#> [862] 0.9839867 0.9936562 0.9879434 0.9901570 0.9916188 0.9934778 0.9857312
#> [869] 0.9936846 0.9887620 0.9887868 0.9887868 0.9866314 0.9885445 0.9825616
#> [876] 0.9846300 0.9856556 0.9887868 0.9824845 0.9887868 0.8544443 0.9908578
#> [883] 0.9908578 0.9833378 0.9916203 0.9829000 0.9861621 0.9880470 0.9908578
#> [890] 0.9627038 0.9908578 0.9891626 0.9891531 0.9891531 0.9878527 0.9890617
#> [897] 0.9819530 0.9840201 0.9853753 0.9891531 0.9849313 0.9891531 0.9848976
#> [904] 0.9850221 0.9850221 0.9836961 0.9852983 0.9790111 0.9821736 0.9840847
#> [911] 0.9850221 0.9775209 0.9850221 0.9844906 0.9843484 0.9843484 0.9831720
#> [918] 0.9842363 0.9765182 0.9793490 0.9811240 0.9843484 0.9690120 0.9843484
#> [925] 0.9887379 0.9885206 0.9885206 0.9865421 0.9885846 0.9834805 0.9857170
#> [932] 0.9870706 0.9885206 0.9735323 0.9885206 0.9818700 0.9851851 0.9851851
#> [939] 0.9823747 0.9854399 0.9780323 0.9812658 0.9832584 0.9851851 0.9692775
#> [946] 0.9851851 0.9692232 0.9854512 0.9854512 0.9760657 0.9844595 0.9817547
#> [953] 0.9835498 0.9841330 0.9854512 0.9561617 0.9854512 0.9633821 0.9695999
#> [960] 0.9695999 0.9592306 0.9639053 0.9491125 0.9521343 0.9528634 0.9695999
#> [967] 0.9410210 0.9695999 0.9926090 0.9955924 0.9955924 0.9852909 0.9959452
#> [974] 0.9887453 0.9914015 0.9931191 0.9955924 0.9832549 0.9955924 0.9899221
#> [981] 0.9899397 0.9899397 0.9880895 0.9898746 0.9824197 0.9849988 0.9863495
#> [988] 0.9899397 0.9824725 0.9899397 0.8452742 0.9895928 0.9895928 0.9835457
#> [995] 0.9901305 0.9815902 0.9850368 0.9869700 0.9895928 0.9559549 0.9895928
#> [1002] 0.9876124 0.9878325 0.9878325 0.9857468 0.9877355 0.9811455 0.9831119
#> [1009] 0.9843159 0.9878325 0.9744403 0.9878325 0.9833314 0.9834647 0.9834647
#> [1016] 0.9790603 0.9831693 0.9784907 0.9816101 0.9834056 0.9834647 0.9650902
#> [1023] 0.9834647 0.9821493 0.9822195 0.9822195 0.9807199 0.9822290 0.9738463
#> [1030] 0.9769455 0.9789596 0.9822195 0.9603129 0.9822195 0.8436834 0.9866679
#> [1037] 0.9866679 0.9828653 0.9861272 0.9821172 0.9843559 0.9855342 0.9866679
#> [1044] 0.9603025 0.9866679 0.9808546 0.9836163 0.9836163 0.9830295 0.9838131
#> [1051] 0.9770905 0.9803671 0.9823696 0.9836163 0.9583245 0.9836163 0.9806335
#> [1058] 0.9842834 0.9842834 0.9732372 0.9829545 0.9800031 0.9820503 0.9828566
#> [1065] 0.9842834 0.9485011 0.9842834 0.9598458 0.9671176 0.9671176 0.9544327
#> [1072] 0.9610142 0.9469197 0.9499113 0.9505468 0.9671176 0.9290482 0.9671176
#> [1079] 0.9920454 0.9951042 0.9951113 0.9873968 0.9949508 0.9884040 0.9912762
#> [1086] 0.9930934 0.9951042 0.9759712 0.9951113 0.9884548 0.9885411 0.9885411
#> [1093] 0.9864113 0.9883605 0.9802312 0.9830716 0.9845798 0.9885411 0.9745508
#> [1100] 0.9885411 0.8508696 0.9905332 0.9905332 0.9817959 0.9911022 0.9824855
#> [1107] 0.9858895 0.9878539 0.9905332 0.9637347 0.9905332 0.9896269 0.9897614
#> [1114] 0.9897614 0.9877742 0.9895157 0.9826397 0.9848145 0.9861934 0.9897614
#> [1121] 0.9845038 0.9897614 0.9851706 0.9852954 0.9852954 0.9835464 0.9854395
#> [1128] 0.9796795 0.9827875 0.9846284 0.9852954 0.9776314 0.9852954 0.9838613
#> [1135] 0.9839313 0.9839313 0.9831511 0.9837765 0.9757404 0.9786052 0.9803982
#> [1142] 0.9839313 0.9692407 0.9839313 0.9884553 0.9885870 0.9885870 0.9864404
#> [1149] 0.9885075 0.9836392 0.9859190 0.9872943 0.9885870 0.9745118 0.9885870
#> [1156] 0.9814519 0.9848038 0.9848038 0.9818504 0.9849627 0.9777755 0.9809137
#> [1163] 0.9828500 0.9848038 0.9692165 0.9848038 0.9793607 0.9852032 0.9852032
#> [1170] 0.9754328 0.9842372 0.9822573 0.9838878 0.9842817 0.9852032 0.9543104
#> [1177] 0.9852032 0.9644400 0.9703113 0.9703113 0.9601593 0.9644980 0.9496051
#> [1184] 0.9527738 0.9535575 0.9703113 0.9405254 0.9703113 0.9915324 0.9945162
#> [1191] 0.9945162 0.9827249 0.9947689 0.9881704 0.9906946 0.9923035 0.9945162
#> [1198] 0.9836368 0.9945162 0.9898374 0.9898574 0.9898574 0.9884783 0.9897620
#> [1205] 0.9826722 0.9851058 0.9863301 0.9898574 0.9821019 0.9898574
#>
#> $mase
#> [1] 0.68772416 0.13502459 0.13502459 0.16756661 0.13030577 0.20767128
#> [7] 0.18409075 0.17046033 0.13502459 0.24636015 0.13502459 0.13965908
#> [13] 0.14078032 0.14078032 0.13066428 0.13750560 0.18935552 0.17283804
#> [19] 0.16243532 0.14078032 0.20256931 0.14078032 0.15965042 0.15922513
#> [25] 0.15922513 0.15420538 0.15808511 0.21962561 0.20074677 0.18761574
#> [31] 0.15922513 0.25059473 0.15922513 0.16406961 0.16411996 0.16411996
#> [37] 0.16152708 0.16347075 0.22750816 0.21003697 0.19838745 0.16411996
#> [43] 0.23366299 0.16411996 0.13937791 0.14038067 0.14038067 0.13334471
#> [49] 0.13439887 0.19207990 0.17411088 0.16252965 0.14038067 0.26391334
#> [55] 0.14038067 0.17798580 0.16279495 0.16279495 0.17903633 0.15841111
#> [61] 0.22303786 0.20114323 0.18735745 0.16279495 0.22972036 0.16279495
#> [67] 0.17314644 0.15344609 0.15344609 0.17806388 0.14996057 0.21442885
#> [73] 0.19411299 0.18086706 0.15344609 0.25198323 0.15344609 0.22065406
#> [79] 0.21264230 0.21205681 0.22772740 0.21717112 0.28838648 0.26951542
#> [85] 0.26183630 0.21264230 0.32039762 0.21205681 0.13418046 0.11907220
#> [91] 0.11907220 0.19527939 0.11334026 0.17399781 0.15503685 0.14214425
#> [97] 0.11907220 0.20773121 0.11907220 0.14202457 0.14186818 0.14186818
#> [103] 0.13828426 0.14221441 0.19166569 0.17788426 0.16875860 0.14186818
#> [109] 0.21637535 0.14186818 0.64451781 0.12712609 0.12712609 0.15705735
#> [115] 0.12331124 0.19754618 0.17561354 0.16240632 0.12712609 0.24624250
#> [121] 0.12712609 0.13802647 0.13806953 0.13806953 0.13231828 0.14029200
#> [127] 0.17877093 0.16318805 0.15403566 0.13806953 0.20789765 0.13806953
#> [133] 0.13961268 0.13907002 0.13907002 0.14034272 0.13643540 0.20453941
#> [139] 0.18380682 0.16835450 0.13907002 0.23315452 0.13907002 0.14588576
#> [145] 0.14592067 0.14592067 0.15271942 0.14750565 0.20532098 0.18728667
#> [151] 0.17575750 0.14592067 0.22170465 0.14592067 0.13471146 0.13881120
#> [157] 0.13881120 0.14454163 0.13498346 0.17781961 0.16393392 0.15499576
#> [163] 0.13881120 0.26443074 0.13881120 0.16350733 0.15389111 0.15389111
#> [169] 0.17211963 0.15197298 0.20440684 0.18209606 0.17011009 0.15389111
#> [175] 0.22709628 0.15389111 0.15775083 0.14023674 0.14023674 0.16718085
#> [181] 0.13990425 0.19480728 0.17436179 0.16165581 0.14023674 0.24556247
#> [187] 0.14023674 0.19871285 0.19588212 0.19588212 0.20839999 0.20303274
#> [193] 0.27138199 0.25277344 0.24391343 0.19588212 0.30229073 0.19588212
#> [199] 0.11655967 0.10288799 0.10288799 0.18516414 0.09854296 0.15953400
#> [205] 0.13928429 0.12553965 0.10288799 0.20377490 0.10288799 0.13349612
#> [211] 0.13334828 0.13334828 0.13103730 0.13426534 0.17756719 0.16401403
#> [217] 0.15493944 0.13334828 0.20474975 0.13334828 0.68693771 0.13510273
#> [223] 0.13510273 0.16788443 0.13010020 0.20823157 0.18472408 0.17125615
#> [229] 0.13510273 0.24648572 0.13510273 0.13923200 0.14054859 0.14054859
#> [235] 0.13024636 0.13723709 0.18954142 0.17304315 0.16261063 0.14054859
#> [241] 0.20172376 0.14054859 0.15958217 0.15919310 0.15919310 0.15407205
#> [247] 0.15791621 0.21971628 0.20062773 0.18761415 0.15919310 0.25020705
#> [253] 0.15919310 0.16402993 0.16411707 0.16411707 0.16158579 0.16343421
#> [259] 0.22780339 0.21034821 0.19866963 0.16411707 0.23403587 0.16411707
#> [265] 0.13896840 0.14024605 0.14024605 0.13313373 0.13404025 0.19269372
#> [271] 0.17467419 0.16318380 0.14024605 0.26391247 0.14024605 0.17855131
#> [277] 0.16266484 0.16266484 0.17938710 0.15812401 0.22362520 0.20154719
#> [283] 0.18768260 0.16266484 0.22934638 0.16266484 0.17326563 0.15357328
#> [289] 0.15357328 0.17817970 0.14994576 0.21465768 0.19417920 0.18091401
#> [295] 0.15357328 0.25117521 0.15357328 0.22026546 0.21262807 0.21179861
#> [301] 0.22740728 0.21659145 0.28859937 0.26963224 0.26193845 0.21262807
#> [307] 0.31968716 0.21179861 0.13389790 0.11885591 0.11885591 0.19558278
#> [313] 0.11309187 0.17411073 0.15507444 0.14215365 0.11885591 0.20772934
#> [319] 0.11885591 0.14184528 0.14177391 0.14177391 0.13795919 0.14227386
#> [325] 0.19184104 0.17796272 0.16881297 0.14177391 0.21601915 0.14177391
#> [331] 0.26771524 0.12929977 0.12929977 0.15253590 0.12477854 0.20267491
#> [337] 0.17850929 0.16467924 0.12929977 0.25609529 0.12929977 0.12705263
#> [343] 0.13156705 0.13156705 0.11296195 0.13027946 0.18260140 0.16495050
#> [349] 0.15397776 0.13156705 0.20550550 0.13156705 0.15126410 0.14431334
#> [355] 0.14431334 0.13688451 0.14417746 0.21136761 0.19073903 0.17512815
#> [361] 0.14431334 0.24518751 0.14431334 0.15396038 0.15426770 0.15426770
#> [367] 0.15062702 0.15309776 0.21766864 0.19992574 0.18817549 0.15426770
#> [373] 0.23256179 0.15426770 0.13383944 0.13566003 0.13566003 0.11987758
#> [379] 0.12999833 0.18470254 0.16780091 0.15658568 0.13566003 0.27837620
#> [385] 0.13566003 0.16387867 0.14786159 0.14786159 0.16174721 0.14242662
#> [391] 0.21537254 0.19077709 0.17440639 0.14786159 0.22480150 0.14786159
#> [397] 0.16146533 0.14219282 0.14219282 0.16307560 0.13978961 0.20739009
#> [403] 0.18557097 0.17126687 0.14219282 0.25415124 0.14219282 0.19904742
#> [409] 0.19647443 0.19667105 0.20188521 0.20064968 0.27766991 0.25724383
#> [415] 0.24831899 0.19647443 0.31148960 0.19667105 0.12461025 0.11084987
#> [421] 0.11084987 0.19287843 0.10647583 0.16602495 0.14697836 0.13264745
#> [427] 0.11084987 0.21482428 0.11084987 0.13478286 0.13478800 0.13478800
#> [433] 0.12437613 0.13482650 0.18846054 0.17308447 0.16304097 0.13478800
#> [439] 0.21513342 0.13478800 0.68549968 0.13411663 0.13411663 0.16525479
#> [445] 0.12900631 0.20785124 0.18395922 0.17108886 0.13411663 0.24934889
#> [451] 0.13411663 0.13772458 0.13933166 0.13933166 0.12871674 0.13577409
#> [457] 0.18928076 0.17264452 0.16207241 0.13933166 0.20241318 0.13933166
#> [463] 0.15770906 0.15730089 0.15730089 0.15219065 0.15586736 0.21909053
#> [469] 0.19996188 0.18666132 0.15730089 0.25083154 0.15730089 0.16255068
#> [475] 0.16262289 0.16262289 0.16055370 0.16169415 0.22757219 0.20992655
#> [481] 0.19806081 0.16262289 0.23510648 0.16262289 0.13833940 0.13949800
#> [487] 0.13949800 0.13127406 0.13326695 0.19270003 0.17461826 0.16343374
#> [493] 0.13949800 0.26604591 0.13949800 0.17627027 0.16016943 0.16016943
#> [499] 0.17620465 0.15542884 0.22344857 0.20067797 0.18643197 0.16016943
#> [505] 0.22865567 0.16016943 0.17159384 0.15144361 0.15144361 0.17511039
#> [511] 0.14715327 0.21418909 0.19339498 0.17986418 0.15144361 0.25202995
#> [517] 0.15144361 0.21378503 0.21071876 0.21010677 0.22354090 0.21470484
#> [523] 0.28833984 0.26934048 0.26134617 0.21071876 0.31922508 0.21010677
#> [529] 0.13247747 0.11738190 0.11738190 0.19481523 0.11169862 0.17387895
#> [535] 0.15477510 0.14152450 0.11738190 0.20953042 0.11738190 0.14077161
#> [541] 0.14065818 0.14065818 0.13677645 0.14091222 0.19230746 0.17817377
#> [547] 0.16871244 0.14065818 0.21589592 0.14065818 0.32736126 0.15249949
#> [553] 0.15039662 0.19669267 0.15138468 0.19381341 0.17641238 0.16554319
#> [559] 0.15249949 0.21559770 0.15039662 0.15625658 0.15645904 0.15645060
#> [565] 0.17079085 0.16137661 0.18170993 0.16971637 0.16320523 0.15645904
#> [571] 0.18715467 0.15645060 0.17518942 0.17463762 0.17463762 0.19696222
#> [577] 0.17621503 0.21434261 0.19909352 0.19014500 0.17463762 0.23835825
#> [583] 0.17463762 0.17064108 0.17247232 0.17111598 0.18173557 0.17102800
#> [589] 0.21594527 0.20247814 0.19443945 0.17247232 0.21917082 0.17111598
#> [595] 0.15232310 0.15200141 0.15315994 0.18349878 0.15712956 0.17755919
#> [601] 0.16366194 0.15258530 0.15200141 0.21877566 0.15315994 0.19285887
#> [607] 0.18399619 0.18399619 0.21387440 0.18371013 0.21116099 0.19628098
#> [613] 0.18885746 0.18399619 0.21995835 0.18399619 0.25698621 0.15899074
#> [619] 0.15856067 0.19501110 0.15911036 0.20117568 0.18501927 0.17520742
#> [625] 0.15899074 0.23098243 0.15856067 0.22484271 0.22391202 0.22391202
#> [631] 0.26562634 0.23355146 0.27091362 0.25915868 0.25523667 0.22391202
#> [637] 0.29364003 0.22391202 0.63137275 0.13648348 0.13440384 0.19916401
#> [643] 0.13597941 0.16507205 0.14993183 0.14173201 0.13648348 0.17843614
#> [649] 0.13440384 0.14357388 0.14464142 0.14402956 0.16046586 0.14789918
#> [655] 0.17449818 0.16331580 0.15664377 0.14464142 0.19971903 0.14402956
#> [661] 0.32387603 0.15012361 0.14898002 0.19273846 0.15117183 0.19983372
#> [667] 0.18060163 0.16831605 0.15012361 0.21912390 0.14898002 0.15458326
#> [673] 0.15439928 0.15439928 0.16319566 0.15866255 0.18658549 0.17312625
#> [679] 0.16485290 0.15439928 0.19032558 0.15439928 0.17446289 0.17394737
#> [685] 0.17394737 0.18856759 0.17483582 0.21901237 0.20251486 0.19248204
#> [691] 0.17394737 0.24305493 0.17394737 0.17198808 0.17241774 0.17241774
#> [697] 0.17897137 0.17252595 0.22217676 0.20775825 0.19877732 0.17241774
#> [703] 0.22234096 0.17241774 0.15031878 0.15108869 0.15108869 0.17331559
#> [709] 0.15588929 0.18382759 0.16884262 0.15658585 0.15108869 0.22660908
#> [715] 0.15108869 0.19166960 0.18226132 0.18226132 0.20895483 0.18106561
#> [721] 0.21744773 0.20075582 0.19165289 0.18226132 0.22133044 0.18226132
#> [727] 0.16262961 0.16027971 0.16027971 0.19471567 0.16047894 0.20732888
#> [733] 0.18990512 0.17932832 0.16027971 0.23748485 0.16027971 0.22505028
#> [739] 0.22419067 0.22419067 0.26016208 0.23335560 0.27951426 0.26580012
#> [745] 0.26071016 0.22419067 0.30021654 0.22419067 0.64271409 0.13426795
#> [751] 0.13251887 0.19896407 0.13347567 0.16990494 0.15343099 0.14360778
#> [757] 0.13426795 0.18234677 0.13251887 0.14497533 0.14560227 0.14532828
#> [763] 0.15630915 0.14933673 0.18096848 0.16851650 0.16109776 0.14560227
#> [769] 0.20423705 0.14532828 0.31680509 0.14584415 0.14583761 0.18697080
#> [775] 0.14788551 0.20294674 0.18259700 0.16943329 0.14584415 0.22448325
#> [781] 0.14583761 0.15063995 0.15082760 0.15082760 0.15507939 0.15375107
#> [787] 0.18846279 0.17400013 0.16438682 0.15082760 0.19291039 0.15082760
#> [793] 0.17176792 0.17151621 0.17151621 0.18009669 0.17123323 0.22031998
#> [799] 0.20284961 0.19223923 0.17151621 0.24565507 0.17151621 0.17083986
#> [805] 0.17123999 0.17123999 0.17511110 0.17083066 0.22488490 0.20963166
#> [811] 0.19992539 0.17123999 0.22505646 0.17123999 0.14662046 0.14765068
#> [817] 0.14765068 0.16217543 0.15204341 0.18747114 0.17136647 0.15816510
#> [823] 0.14765068 0.23623890 0.14765068 0.18750780 0.17832221 0.17832221
#> [829] 0.20162898 0.17608301 0.22029505 0.20205587 0.19156648 0.17832221
#> [835] 0.22334841 0.17832221 0.17032106 0.15962212 0.15962212 0.19233510
#> [841] 0.15924204 0.21041616 0.19194860 0.18064477 0.15962212 0.24032398
#> [847] 0.15962212 0.22231865 0.22149992 0.22149992 0.25245101 0.22999517
#> [853] 0.28361053 0.26822717 0.26216595 0.22149992 0.30722617 0.22149992
#> [859] 0.64515121 0.13075835 0.12950231 0.19728851 0.12902680 0.17208615
#> [865] 0.15473467 0.14395321 0.13075835 0.18814175 0.12950231 0.14422185
#> [871] 0.14453780 0.14453780 0.15147927 0.14791278 0.18461961 0.17136717
#> [877] 0.16326269 0.14453780 0.20876361 0.14453780 0.64535078 0.12973042
#> [883] 0.12973042 0.15520231 0.12542728 0.19795825 0.17632819 0.16384879
#> [889] 0.12973042 0.25189519 0.12973042 0.13686219 0.13670984 0.13670984
#> [895] 0.12890762 0.14029099 0.17808284 0.16242236 0.15293350 0.13670984
#> [901] 0.20352761 0.13670984 0.14028829 0.13961433 0.13961433 0.14236182
#> [907] 0.13867152 0.20585303 0.18536992 0.17033268 0.13961433 0.23377036
#> [913] 0.13961433 0.14010707 0.14466227 0.14466227 0.15044891 0.14764073
#> [919] 0.20221763 0.18447911 0.17386201 0.14466227 0.22414284 0.14466227
#> [925] 0.13723121 0.13889302 0.13889302 0.13985987 0.13561309 0.17719657
#> [931] 0.16201363 0.15297874 0.13889302 0.26298698 0.13889302 0.16254205
#> [937] 0.15291893 0.15291893 0.17467214 0.15171757 0.20354824 0.18088504
#> [943] 0.16933329 0.15291893 0.22726029 0.15291893 0.24344654 0.14004799
#> [949] 0.14004799 0.16707612 0.13971488 0.19557266 0.17478828 0.16185260
#> [955] 0.14004799 0.24527838 0.14004799 0.20052826 0.19502344 0.19502344
#> [961] 0.20802135 0.20254971 0.27150702 0.25310073 0.24417963 0.19502344
#> [967] 0.30225408 0.19502344 0.11835900 0.10394251 0.10394251 0.18904453
#> [973] 0.09992260 0.15736924 0.13676917 0.12308590 0.10394251 0.20314008
#> [979] 0.10394251 0.13365093 0.13350475 0.13350475 0.13396754 0.13487599
#> [985] 0.17716513 0.16390838 0.15540257 0.13350475 0.20633405 0.13350475
#> [991] 0.71418841 0.15257487 0.15257487 0.16557490 0.14902048 0.21670442
#> [997] 0.19257823 0.17993435 0.15257487 0.30142840 0.15257487 0.15253033
#> [1003] 0.15168235 0.15168235 0.15442141 0.15129340 0.19491493 0.17798407
#> [1009] 0.16772881 0.15168235 0.25885992 0.15168235 0.15878746 0.15759716
#> [1015] 0.15759716 0.19758311 0.16221928 0.22221835 0.19712137 0.18009868
#> [1021] 0.15759716 0.30687426 0.15759716 0.17247478 0.17276994 0.17276994
#> [1027] 0.18916481 0.17345886 0.23426127 0.21478881 0.20081584 0.17276994
#> [1033] 0.27864655 0.17276994 0.68783667 0.16231691 0.16231691 0.17307393
#> [1039] 0.16262522 0.20083881 0.18447150 0.17520371 0.16231691 0.33464815
#> [1045] 0.16231691 0.18488516 0.16926038 0.16926038 0.17144602 0.16830570
#> [1051] 0.22034861 0.19642271 0.18312119 0.16926038 0.29026439 0.16926038
#> [1057] 0.17624453 0.15304382 0.15304382 0.20134045 0.15485906 0.22011716
#> [1063] 0.19676898 0.18125049 0.15304382 0.30042999 0.15304382 0.24798509
#> [1069] 0.23004224 0.23004224 0.26302279 0.23780566 0.29204337 0.27525029
#> [1075] 0.26934130 0.23004224 0.38257173 0.23004224 0.13747383 0.12155278
#> [1081] 0.12177550 0.18436062 0.12171497 0.17663196 0.15256244 0.13502214
#> [1087] 0.12155278 0.25205260 0.12177550 0.15502628 0.15423888 0.15423888
#> [1093] 0.16249108 0.15827297 0.20889717 0.19134439 0.18132125 0.15423888
#> [1099] 0.26239973 0.15423888 0.63787694 0.13379069 0.13379069 0.16893187
#> [1105] 0.13254958 0.19836545 0.17671213 0.16385135 0.13379069 0.25034638
#> [1111] 0.13379069 0.13272191 0.13275552 0.13275552 0.12979110 0.13675076
#> [1117] 0.17348410 0.15758620 0.14804875 0.13275552 0.20455351 0.13275552
#> [1123] 0.13989873 0.13924369 0.13924369 0.13907682 0.13897321 0.20198340
#> [1129] 0.18212560 0.16769135 0.13924369 0.23247129 0.13924369 0.14880584
#> [1135] 0.14865076 0.14865076 0.14625470 0.15230414 0.20339209 0.18736897
#> [1141] 0.17757003 0.14865076 0.22380241 0.14865076 0.13624168 0.13945916
#> [1147] 0.13945916 0.13897342 0.13826920 0.17538303 0.16097210 0.15188858
#> [1153] 0.13945916 0.26053924 0.13945916 0.16193551 0.15311304 0.15311304
#> [1159] 0.17698262 0.15227385 0.20094854 0.17954791 0.16981789 0.15311304
#> [1165] 0.22642217 0.15311304 0.15771433 0.14266076 0.14266076 0.16917985
#> [1171] 0.14190984 0.19324833 0.17418396 0.16208399 0.14266076 0.25728951
#> [1177] 0.14266076 0.19364989 0.18919357 0.18919357 0.19997424 0.19700230
#> [1183] 0.26517731 0.24660502 0.23721302 0.18919357 0.30214429 0.18919357
#> [1189] 0.12525779 0.11075117 0.11075117 0.20115157 0.10953489 0.15589786
#> [1195] 0.13735372 0.12538546 0.11075117 0.19785770 0.11075117 0.13632286
#> [1201] 0.13608583 0.13608583 0.12903019 0.13834243 0.17421420 0.16241547
#> [1207] 0.15593356 0.13608583 0.20906940 0.13608583
#>
#> $smape
#> [1] 0.089779389 0.013321437 0.013321437 0.015130123 0.012725242 0.019465922
#> [7] 0.017442398 0.016075186 0.013321437 0.021229797 0.013321437 0.012368662
#> [13] 0.012232077 0.012232077 0.011636274 0.012107047 0.016184652 0.014824987
#> [19] 0.013974409 0.012232077 0.017495054 0.012232077 0.012750121 0.012717835
#> [25] 0.012717835 0.012661587 0.012589049 0.018251141 0.016510465 0.015236700
#> [31] 0.012717835 0.020002722 0.012717835 0.014538523 0.014559751 0.014559751
#> [37] 0.014983945 0.014531299 0.019542970 0.018062151 0.017148730 0.014559751
#> [43] 0.020557901 0.014559751 0.011950707 0.011977459 0.011977459 0.011375637
#> [49] 0.011366589 0.016768888 0.015203638 0.014087386 0.011977459 0.020994319
#> [55] 0.011977459 0.018722840 0.014365329 0.014365329 0.016265836 0.014089700
#> [61] 0.019706125 0.017770156 0.016478797 0.014365329 0.020078384 0.014365329
#> [67] 0.018215940 0.014753731 0.014753731 0.020479263 0.014233523 0.021077819
#> [73] 0.019368055 0.018058198 0.014753731 0.022770588 0.014753731 0.019293731
#> [79] 0.018534970 0.018302600 0.019843127 0.018842744 0.024135009 0.022717329
#> [85] 0.022225489 0.018534970 0.024243322 0.018302600 0.016339270 0.011058670
#> [91] 0.011058670 0.017024295 0.010529988 0.015451960 0.013794852 0.012714279
#> [97] 0.011058670 0.018840894 0.011058670 0.012554830 0.012565055 0.012565055
#> [103] 0.011853696 0.012385677 0.017107065 0.015902068 0.015025836 0.012565055
#> [109] 0.018173026 0.012565055 0.091836997 0.013458736 0.013458736 0.015325520
#> [115] 0.012945048 0.020037976 0.017914046 0.016476980 0.013458736 0.023362777
#> [121] 0.013458736 0.013704327 0.013425015 0.013425015 0.013217852 0.013739170
#> [127] 0.016694881 0.015363848 0.014659640 0.013425015 0.020711934 0.013425015
#> [133] 0.012295660 0.012245959 0.012245959 0.012870457 0.012032789 0.018505791
#> [139] 0.016509588 0.015004536 0.012245959 0.020378108 0.012245959 0.014127174
#> [145] 0.014145359 0.014145359 0.015428607 0.014420182 0.019018894 0.017362899
#> [151] 0.016416267 0.014145359 0.021272416 0.014145359 0.012557935 0.012829848
#> [157] 0.012829848 0.013114688 0.012418748 0.016717995 0.015302851 0.014290025
#> [163] 0.012829848 0.022614852 0.012829848 0.018679235 0.014862341 0.014862341
#> [169] 0.016990379 0.014882066 0.019474083 0.017334207 0.016183080 0.014862341
#> [175] 0.021749006 0.014862341 0.017616749 0.014732788 0.014732788 0.020667572
#> [181] 0.014513918 0.020751772 0.018875427 0.017519877 0.014732788 0.024044460
#> [187] 0.014732788 0.018699629 0.018327008 0.018327008 0.019541578 0.019080310
#> [193] 0.024656910 0.023178584 0.022562290 0.018327008 0.025173538 0.018327008
#> [199] 0.015570358 0.010286692 0.010286692 0.017749125 0.009898872 0.015325268
#> [205] 0.013386373 0.012165138 0.010286692 0.019744194 0.010286692 0.012774199
#> [211] 0.012783923 0.012783923 0.012135465 0.012701285 0.017074780 0.015816022
#> [217] 0.014890229 0.012783923 0.018551019 0.012783923 0.089638399 0.013336771
#> [223] 0.013336771 0.015146862 0.012718336 0.019507996 0.017489605 0.016135158
#> [229] 0.013336771 0.021224203 0.013336771 0.012333933 0.012209030 0.012209030
#> [235] 0.011604970 0.012075497 0.016193906 0.014836086 0.013984727 0.012209030
#> [241] 0.017409552 0.012209030 0.012739389 0.012711497 0.012711497 0.012654650
#> [247] 0.012576547 0.018249608 0.016496319 0.015231626 0.012711497 0.019974181
#> [253] 0.012711497 0.014534608 0.014560258 0.014560258 0.014982665 0.014527817
#> [259] 0.019559331 0.018084014 0.017169519 0.014560258 0.020581050 0.014560258
#> [265] 0.011906043 0.011952746 0.011952746 0.011351357 0.011325339 0.016802050
#> [271] 0.015232139 0.014120075 0.011952746 0.020964260 0.011952746 0.018768029
#> [277] 0.014348773 0.014348773 0.016301107 0.014061443 0.019748765 0.017799401
#> [283] 0.016502139 0.014348773 0.020040649 0.014348773 0.018248925 0.014752766
#> [289] 0.014752766 0.020474731 0.014217167 0.021091326 0.019372771 0.018061966
#> [295] 0.014752766 0.022718500 0.014752766 0.019278658 0.018533670 0.018281696
#> [301] 0.019833283 0.018806251 0.024133977 0.022713911 0.022223835 0.018533670
#> [307] 0.024162677 0.018281696 0.016321025 0.011043690 0.011043690 0.017031991
#> [313] 0.010514194 0.015455972 0.013795832 0.012712056 0.011043690 0.018835846
#> [319] 0.011043690 0.012530636 0.012548111 0.012548111 0.011814279 0.012378288
#> [325] 0.017106913 0.015898983 0.015021940 0.012548111 0.018139213 0.012548111
#> [331] 0.032333465 0.013273846 0.013273846 0.014553833 0.012658503 0.019740204
#> [337] 0.017584540 0.016157826 0.013273846 0.022877747 0.013273846 0.011895652
#> [343] 0.012072787 0.012072787 0.010565369 0.012030196 0.016338253 0.014851587
#> [349] 0.013938535 0.012072787 0.018772312 0.012072787 0.013087839 0.012090497
#> [355] 0.012090497 0.011845025 0.012048749 0.018256147 0.016356405 0.014875822
#> [361] 0.012090497 0.020361453 0.012090497 0.014320660 0.014365863 0.014365863
#> [367] 0.014568708 0.014321345 0.019432614 0.017912343 0.016961472 0.014365863
#> [373] 0.021250793 0.014365863 0.011872990 0.011953450 0.011953450 0.010432391
#> [379] 0.011352113 0.016755532 0.015171877 0.014035854 0.011953450 0.022529390
#> [385] 0.011953450 0.018075981 0.013728795 0.013728795 0.015449222 0.013342964
#> [391] 0.019751071 0.017508085 0.015981560 0.013728795 0.020391945 0.013728795
#> [397] 0.019080816 0.014452257 0.014452257 0.019983212 0.013968218 0.021156018
#> [403] 0.019272932 0.017857009 0.014452257 0.023964015 0.014452257 0.017993077
#> [409] 0.017851078 0.017721093 0.018338946 0.018228677 0.024169106 0.022600942
#> [415] 0.021972597 0.017851078 0.024318426 0.017721093 0.015866362 0.010627290
#> [421] 0.010627290 0.017252822 0.010171310 0.015293383 0.013582411 0.012340244
#> [427] 0.010627290 0.019733900 0.010627290 0.012376223 0.012399792 0.012399792
#> [433] 0.010967502 0.012215942 0.017364255 0.015993513 0.015033282 0.012399792
#> [439] 0.018654425 0.012399792 0.089474891 0.013271688 0.013271688 0.014957960
#> [445] 0.012638311 0.019483770 0.017437181 0.016129085 0.013271688 0.021424433
#> [451] 0.013271688 0.012216514 0.012113703 0.012113703 0.011473235 0.011961734
#> [457] 0.016186464 0.014813688 0.013949352 0.012113703 0.017473145 0.012113703
#> [463] 0.012602874 0.012573262 0.012573262 0.012511171 0.012431693 0.018211134
#> [469] 0.016457015 0.015172617 0.012573262 0.019997697 0.012573262 0.014422747
#> [475] 0.014446899 0.014446899 0.014882890 0.014395711 0.019555436 0.018066840
#> [481] 0.017137562 0.014446899 0.020654486 0.014446899 0.011857315 0.011895503
#> [487] 0.011895503 0.011222756 0.011264243 0.016815940 0.015236887 0.014141079
#> [493] 0.011895503 0.021081553 0.011895503 0.018557817 0.014143504 0.014143504
#> [499] 0.016064924 0.013841549 0.019747826 0.017734149 0.016405380 0.014143504
#> [505] 0.019971565 0.014143504 0.018231103 0.014577616 0.014577616 0.020219557
#> [511] 0.013980340 0.021062222 0.019310651 0.017978703 0.014577616 0.022803124
#> [517] 0.014577616 0.018537895 0.018383575 0.018154525 0.019518087 0.018671384
#> [523] 0.024128392 0.022706887 0.022189538 0.018383575 0.024113979 0.018154525
#> [529] 0.016206552 0.010926258 0.010926258 0.016962380 0.010405194 0.015439499
#> [535] 0.013777840 0.012663736 0.010926258 0.018955913 0.010926258 0.012446311
#> [541] 0.012460644 0.012460644 0.011731525 0.012272081 0.017151459 0.015920507
#> [547] 0.015019547 0.012460644 0.018123058 0.012460644 0.038158832 0.015382530
#> [553] 0.015156272 0.018454475 0.015010328 0.019509714 0.017820199 0.016598727
#> [559] 0.015382530 0.020481600 0.015156272 0.014157430 0.014193224 0.014207308
#> [565] 0.015594302 0.014748547 0.016580406 0.015461556 0.014881428 0.014193224
#> [571] 0.017496634 0.014207308 0.014820843 0.014765124 0.014765124 0.016940819
#> [577] 0.014863464 0.019070336 0.017462066 0.016403060 0.014765124 0.020456872
#> [583] 0.014765124 0.015984584 0.016148415 0.016052775 0.017520285 0.016153587
#> [589] 0.019969709 0.018688183 0.018002472 0.016148415 0.020913061 0.016052775
#> [595] 0.013884636 0.013824489 0.013901986 0.016024300 0.014081258 0.016740602
#> [601] 0.015392691 0.014297181 0.013824489 0.019749124 0.013901986 0.020417326
#> [607] 0.016991267 0.016991267 0.020027158 0.017146197 0.020028589 0.018471676
#> [613] 0.017609399 0.016991267 0.020866380 0.016991267 0.035964245 0.016304763
#> [619] 0.016129595 0.023053436 0.015982878 0.021362378 0.019845631 0.018705762
#> [625] 0.016304763 0.022373437 0.016129595 0.020363753 0.020260294 0.020260294
#> [631] 0.023947113 0.021179723 0.024379294 0.023393162 0.023122790 0.020260294
#> [637] 0.024270603 0.020260294 0.090009492 0.013167170 0.013002708 0.018773655
#> [643] 0.013072240 0.015818554 0.014313691 0.013571897 0.013167170 0.018129183
#> [649] 0.013002708 0.013493315 0.013653882 0.013558523 0.014568185 0.013700216
#> [655] 0.016867525 0.015753549 0.015007083 0.013653882 0.018258582 0.013558523
#> [661] 0.036651256 0.014780925 0.014666435 0.017561664 0.014572246 0.019437034
#> [667] 0.017663860 0.016369555 0.014780925 0.020147600 0.014666435 0.013700296
#> [673] 0.013628352 0.013628352 0.014544291 0.014114660 0.016452502 0.015265144
#> [679] 0.014570373 0.013628352 0.017184952 0.013628352 0.014308819 0.014259432
#> [685] 0.014259432 0.015796244 0.014293701 0.018831404 0.017187534 0.016077773
#> [691] 0.014259432 0.020189865 0.014259432 0.015608514 0.015669041 0.015669041
#> [697] 0.016785972 0.015786758 0.019827650 0.018511257 0.017777887 0.015669041
#> [703] 0.020503360 0.015669041 0.013300427 0.013316691 0.013316691 0.014745666
#> [709] 0.013520625 0.016696303 0.015315832 0.014164712 0.013316691 0.019629224
#> [715] 0.013316691 0.019837968 0.016336409 0.016336409 0.019050908 0.016392058
#> [721] 0.019919348 0.018276077 0.017298776 0.016336409 0.020314405 0.016336409
#> [727] 0.016195914 0.015791628 0.015791628 0.022459907 0.015616617 0.021230627
#> [733] 0.019670649 0.018504409 0.015791628 0.022241843 0.015791628 0.019788368
#> [739] 0.019697830 0.019697830 0.022863421 0.020560586 0.024275993 0.023178803
#> [745] 0.022839385 0.019697830 0.023903821 0.019697830 0.088492001 0.012616943
#> [751] 0.012483337 0.018142332 0.012472063 0.015700665 0.014146692 0.013300950
#> [757] 0.012616943 0.017915464 0.012483337 0.013192869 0.013276145 0.013243051
#> [763] 0.013757359 0.013376056 0.016871866 0.015709433 0.014929740 0.013276145
#> [769] 0.017993094 0.013243051 0.035455184 0.014266143 0.014265511 0.016855736
#> [775] 0.014135751 0.019407467 0.017577162 0.016234716 0.014266143 0.020172667
#> [781] 0.014265511 0.013274224 0.013166693 0.013166693 0.013744866 0.013547909
#> [787] 0.016350167 0.015113408 0.014328991 0.013166693 0.017067698 0.013166693
#> [793] 0.013901588 0.013871881 0.013871881 0.014961556 0.013824040 0.018640257
#> [799] 0.016959472 0.015827435 0.013871881 0.020064083 0.013871881 0.015289486
#> [805] 0.015345677 0.015345677 0.016261106 0.015412925 0.019725469 0.018362638
#> [811] 0.017587143 0.015345677 0.020327252 0.015345677 0.012818607 0.012852380
#> [817] 0.012852380 0.013703112 0.013004035 0.016717310 0.015272247 0.014065107
#> [823] 0.012852380 0.019877911 0.012852380 0.019294507 0.015798144 0.015798144
#> [829] 0.018222957 0.015767655 0.019840563 0.018117121 0.017045360 0.015798144
#> [835] 0.020083361 0.015798144 0.016831398 0.015506402 0.015506402 0.021998846
#> [841] 0.015281805 0.021160707 0.019550283 0.018344939 0.015506402 0.022150507
#> [847] 0.015506402 0.019314108 0.019230629 0.019230629 0.022005833 0.020042911
#> [853] 0.024208753 0.023008274 0.022608752 0.019230629 0.023963497 0.019230629
#> [859] 0.087350926 0.012169999 0.012077689 0.017687655 0.011948978 0.015620575
#> [865] 0.014031762 0.013119454 0.012169999 0.018015157 0.012077689 0.012934274
#> [871] 0.012979440 0.012979440 0.013165778 0.013046293 0.016899290 0.015704878
#> [877] 0.014886752 0.012979440 0.018017031 0.012979440 0.091461868 0.013661051
#> [883] 0.013661051 0.015290552 0.013092857 0.019969158 0.017901034 0.016524671
#> [889] 0.013661051 0.023780061 0.013661051 0.013380767 0.013097353 0.013097353
#> [895] 0.012757454 0.013510194 0.016327141 0.015029375 0.014313035 0.013097353
#> [901] 0.019934554 0.013097353 0.012196225 0.012119038 0.012119038 0.013079390
#> [907] 0.012010200 0.018414616 0.016445981 0.015025505 0.012119038 0.020311937
#> [913] 0.012119038 0.013835400 0.014077197 0.014077197 0.015258508 0.014482657
#> [919] 0.018644497 0.017043973 0.016244489 0.014077197 0.021575717 0.014077197
#> [925] 0.012724681 0.012797171 0.012797171 0.012836324 0.012394921 0.016629304
#> [931] 0.015133698 0.014145221 0.012797171 0.022590701 0.012797171 0.018695444
#> [937] 0.014806331 0.014806331 0.017465038 0.014900188 0.019290906 0.017139676
#> [943] 0.016102173 0.014806331 0.021668787 0.014806331 0.033672516 0.014533400
#> [949] 0.014533400 0.020458758 0.014307035 0.020701858 0.018827556 0.017474494
#> [955] 0.014533400 0.023921656 0.014533400 0.018785355 0.018182510 0.018182510
#> [961] 0.019290921 0.018916515 0.024528877 0.023103806 0.022475818 0.018182510
#> [967] 0.025280796 0.018182510 0.015698640 0.010346653 0.010346653 0.018260116
#> [973] 0.010057469 0.014931185 0.012990574 0.011814835 0.010346653 0.019710362
#> [979] 0.010346653 0.012759697 0.012769414 0.012769414 0.012370925 0.012706857
#> [985] 0.016963700 0.015726914 0.014888376 0.012769414 0.018786881 0.012769414
#> [991] 0.091680518 0.014653034 0.014653034 0.015280454 0.014199862 0.020076424
#> [997] 0.018071944 0.016797760 0.014653034 0.025862565 0.014653034 0.013052492
#> [1003] 0.012928968 0.012928968 0.012904355 0.012962973 0.016463118 0.015077429
#> [1009] 0.014275658 0.012928968 0.021433321 0.012928968 0.012764994 0.012669594
#> [1015] 0.012669594 0.015956212 0.012943948 0.018384691 0.016197901 0.014657946
#> [1021] 0.012669594 0.023619622 0.012669594 0.015220742 0.015267917 0.015267917
#> [1027] 0.016831971 0.015356862 0.020029694 0.018447043 0.017383374 0.015267917
#> [1033] 0.024018506 0.015267917 0.076694339 0.013584267 0.013584267 0.014062499
#> [1039] 0.013437063 0.017444921 0.015931165 0.014961629 0.013584267 0.025908902
#> [1045] 0.013584267 0.019174327 0.015054606 0.015054606 0.016227345 0.015093785
#> [1051] 0.019416682 0.017263625 0.016124941 0.015054606 0.024786473 0.015054606
#> [1057] 0.017326504 0.015036656 0.015036656 0.022482930 0.014861971 0.021561103
#> [1063] 0.019603925 0.018162616 0.015036656 0.027045954 0.015036656 0.021331961
#> [1069] 0.019594498 0.019594498 0.022167260 0.020343804 0.024298584 0.023058957
#> [1075] 0.022641147 0.019594498 0.028824961 0.019594498 0.016551289 0.011174187
#> [1081] 0.011193437 0.016726988 0.011100682 0.015530968 0.013519407 0.012129256
#> [1087] 0.011174187 0.021712553 0.011193437 0.013518586 0.013489034 0.013489034
#> [1093] 0.013402604 0.013671703 0.018288801 0.016863103 0.015973567 0.013489034
#> [1099] 0.021791813 0.013489034 0.091917329 0.014615974 0.014615974 0.017066093
#> [1105] 0.014283970 0.020498403 0.018489047 0.017166431 0.014615974 0.025473131
#> [1111] 0.014615974 0.013424442 0.013191073 0.013191073 0.013214894 0.013608481
#> [1117] 0.016324281 0.015005621 0.014327115 0.013191073 0.020955845 0.013191073
#> [1123] 0.012658705 0.012587316 0.012587316 0.013548575 0.012486534 0.018484891
#> [1129] 0.016558018 0.015155809 0.012587316 0.020825241 0.012587316 0.014654329
#> [1135] 0.014659483 0.014659483 0.014913978 0.015131134 0.019039213 0.017613814
#> [1141] 0.016828795 0.014659483 0.022436636 0.014659483 0.013035979 0.013303412
#> [1147] 0.013303412 0.013345950 0.013136055 0.016826394 0.015401032 0.014483691
#> [1153] 0.013303412 0.023774788 0.013303412 0.019075040 0.015185066 0.015185066
#> [1159] 0.018134537 0.015235027 0.019285962 0.017166146 0.016306295 0.015185066
#> [1165] 0.022624009 0.015185066 0.018812821 0.015506979 0.015506979 0.021779568
#> [1171] 0.015211621 0.021020407 0.019291647 0.018044872 0.015506979 0.026695325
#> [1177] 0.015506979 0.018729034 0.018157790 0.018157790 0.019105106 0.018943385
#> [1183] 0.024402602 0.022972166 0.022309525 0.018157790 0.025997221 0.018157790
#> [1189] 0.016454412 0.011061093 0.011061093 0.019635904 0.010961678 0.014690230
#> [1195] 0.012878020 0.011800942 0.011061093 0.019626674 0.011061093 0.013292979
#> [1201] 0.013302726 0.013302726 0.012008253 0.013318672 0.017117455 0.016020430
#> [1207] 0.015350494 0.013302726 0.019594721 0.013302726
#>
#> attr(,"row.names")
#> [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14
#> [15] 15 16 17 18 19 20 21 22 23 24 25 26 27 28
#> [29] 29 30 31 32 33 34 35 36 37 38 39 40 41 42
#> [43] 43 44 45 46 47 48 49 50 51 52 53 54 55 56
#> [57] 57 58 59 60 61 62 63 64 65 66 67 68 69 70
#> [71] 71 72 73 74 75 76 77 78 79 80 81 82 83 84
#> [85] 85 86 87 88 89 90 91 92 93 94 95 96 97 98
#> [99] 99 100 101 102 103 104 105 106 107 108 109 110 111 112
#> [113] 113 114 115 116 117 118 119 120 121 122 123 124 125 126
#> [127] 127 128 129 130 131 132 133 134 135 136 137 138 139 140
#> [141] 141 142 143 144 145 146 147 148 149 150 151 152 153 154
#> [155] 155 156 157 158 159 160 161 162 163 164 165 166 167 168
#> [169] 169 170 171 172 173 174 175 176 177 178 179 180 181 182
#> [183] 183 184 185 186 187 188 189 190 191 192 193 194 195 196
#> [197] 197 198 199 200 201 202 203 204 205 206 207 208 209 210
#> [211] 211 212 213 214 215 216 217 218 219 220 221 222 223 224
#> [225] 225 226 227 228 229 230 231 232 233 234 235 236 237 238
#> [239] 239 240 241 242 243 244 245 246 247 248 249 250 251 252
#> [253] 253 254 255 256 257 258 259 260 261 262 263 264 265 266
#> [267] 267 268 269 270 271 272 273 274 275 276 277 278 279 280
#> [281] 281 282 283 284 285 286 287 288 289 290 291 292 293 294
#> [295] 295 296 297 298 299 300 301 302 303 304 305 306 307 308
#> [309] 309 310 311 312 313 314 315 316 317 318 319 320 321 322
#> [323] 323 324 325 326 327 328 329 330 331 332 333 334 335 336
#> [337] 337 338 339 340 341 342 343 344 345 346 347 348 349 350
#> [351] 351 352 353 354 355 356 357 358 359 360 361 362 363 364
#> [365] 365 366 367 368 369 370 371 372 373 374 375 376 377 378
#> [379] 379 380 381 382 383 384 385 386 387 388 389 390 391 392
#> [393] 393 394 395 396 397 398 399 400 401 402 403 404 405 406
#> [407] 407 408 409 410 411 412 413 414 415 416 417 418 419 420
#> [421] 421 422 423 424 425 426 427 428 429 430 431 432 433 434
#> [435] 435 436 437 438 439 440 441 442 443 444 445 446 447 448
#> [449] 449 450 451 452 453 454 455 456 457 458 459 460 461 462
#> [463] 463 464 465 466 467 468 469 470 471 472 473 474 475 476
#> [477] 477 478 479 480 481 482 483 484 485 486 487 488 489 490
#> [491] 491 492 493 494 495 496 497 498 499 500 501 502 503 504
#> [505] 505 506 507 508 509 510 511 512 513 514 515 516 517 518
#> [519] 519 520 521 522 523 524 525 526 527 528 529 530 531 532
#> [533] 533 534 535 536 537 538 539 540 541 542 543 544 545 546
#> [547] 547 548 549 550 551 552 553 554 555 556 557 558 559 560
#> [561] 561 562 563 564 565 566 567 568 569 570 571 572 573 574
#> [575] 575 576 577 578 579 580 581 582 583 584 585 586 587 588
#> [589] 589 590 591 592 593 594 595 596 597 598 599 600 601 602
#> [603] 603 604 605 606 607 608 609 610 611 612 613 614 615 616
#> [617] 617 618 619 620 621 622 623 624 625 626 627 628 629 630
#> [631] 631 632 633 634 635 636 637 638 639 640 641 642 643 644
#> [645] 645 646 647 648 649 650 651 652 653 654 655 656 657 658
#> [659] 659 660 661 662 663 664 665 666 667 668 669 670 671 672
#> [673] 673 674 675 676 677 678 679 680 681 682 683 684 685 686
#> [687] 687 688 689 690 691 692 693 694 695 696 697 698 699 700
#> [701] 701 702 703 704 705 706 707 708 709 710 711 712 713 714
#> [715] 715 716 717 718 719 720 721 722 723 724 725 726 727 728
#> [729] 729 730 731 732 733 734 735 736 737 738 739 740 741 742
#> [743] 743 744 745 746 747 748 749 750 751 752 753 754 755 756
#> [757] 757 758 759 760 761 762 763 764 765 766 767 768 769 770
#> [771] 771 772 773 774 775 776 777 778 779 780 781 782 783 784
#> [785] 785 786 787 788 789 790 791 792 793 794 795 796 797 798
#> [799] 799 800 801 802 803 804 805 806 807 808 809 810 811 812
#> [813] 813 814 815 816 817 818 819 820 821 822 823 824 825 826
#> [827] 827 828 829 830 831 832 833 834 835 836 837 838 839 840
#> [841] 841 842 843 844 845 846 847 848 849 850 851 852 853 854
#> [855] 855 856 857 858 859 860 861 862 863 864 865 866 867 868
#> [869] 869 870 871 872 873 874 875 876 877 878 879 880 881 882
#> [883] 883 884 885 886 887 888 889 890 891 892 893 894 895 896
#> [897] 897 898 899 900 901 902 903 904 905 906 907 908 909 910
#> [911] 911 912 913 914 915 916 917 918 919 920 921 922 923 924
#> [925] 925 926 927 928 929 930 931 932 933 934 935 936 937 938
#> [939] 939 940 941 942 943 944 945 946 947 948 949 950 951 952
#> [953] 953 954 955 956 957 958 959 960 961 962 963 964 965 966
#> [967] 967 968 969 970 971 972 973 974 975 976 977 978 979 980
#> [981] 981 982 983 984 985 986 987 988 989 990 991 992 993 994
#> [995] 995 996 997 998 999 1000 1001 1002 1003 1004 1005 1006 1007 1008
#> [1009] 1009 1010 1011 1012 1013 1014 1015 1016 1017 1018 1019 1020 1021 1022
#> [1023] 1023 1024 1025 1026 1027 1028 1029 1030 1031 1032 1033 1034 1035 1036
#> [1037] 1037 1038 1039 1040 1041 1042 1043 1044 1045 1046 1047 1048 1049 1050
#> [1051] 1051 1052 1053 1054 1055 1056 1057 1058 1059 1060 1061 1062 1063 1064
#> [1065] 1065 1066 1067 1068 1069 1070 1071 1072 1073 1074 1075 1076 1077 1078
#> [1079] 1079 1080 1081 1082 1083 1084 1085 1086 1087 1088 1089 1090 1091 1092
#> [1093] 1093 1094 1095 1096 1097 1098 1099 1100 1101 1102 1103 1104 1105 1106
#> [1107] 1107 1108 1109 1110 1111 1112 1113 1114 1115 1116 1117 1118 1119 1120
#> [1121] 1121 1122 1123 1124 1125 1126 1127 1128 1129 1130 1131 1132 1133 1134
#> [1135] 1135 1136 1137 1138 1139 1140 1141 1142 1143 1144 1145 1146 1147 1148
#> [1149] 1149 1150 1151 1152 1153 1154 1155 1156 1157 1158 1159 1160 1161 1162
#> [1163] 1163 1164 1165 1166 1167 1168 1169 1170 1171 1172 1173 1174 1175 1176
#> [1177] 1177 1178 1179 1180 1181 1182 1183 1184 1185 1186 1187 1188 1189 1190
#> [1191] 1191 1192 1193 1194 1195 1196 1197 1198 1199 1200 1201 1202 1203 1204
#> [1205] 1205 1206 1207 1208 1209 1210
#> attr(,"class")
#> [1] "kssa.table"
#>
#> [[2]]
#> $start_methods
#> [1] "StructTS" "StructTS" "StructTS" "StructTS"
#> [5] "StructTS" "StructTS" "StructTS" "StructTS"
#> [9] "StructTS" "StructTS" "StructTS" "auto.arima"
#> [13] "auto.arima" "auto.arima" "auto.arima" "auto.arima"
#> [17] "auto.arima" "auto.arima" "auto.arima" "auto.arima"
#> [21] "auto.arima" "auto.arima" "exponential_ma" "exponential_ma"
#> [25] "exponential_ma" "exponential_ma" "exponential_ma" "exponential_ma"
#> [29] "exponential_ma" "exponential_ma" "exponential_ma" "exponential_ma"
#> [33] "exponential_ma" "linear_i" "linear_i" "linear_i"
#> [37] "linear_i" "linear_i" "linear_i" "linear_i"
#> [41] "linear_i" "linear_i" "linear_i" "linear_i"
#> [45] "linear_ma" "linear_ma" "linear_ma" "linear_ma"
#> [49] "linear_ma" "linear_ma" "linear_ma" "linear_ma"
#> [53] "linear_ma" "linear_ma" "linear_ma" "locf"
#> [57] "locf" "locf" "locf" "locf"
#> [61] "locf" "locf" "locf" "locf"
#> [65] "locf" "locf" "seadec" "seadec"
#> [69] "seadec" "seadec" "seadec" "seadec"
#> [73] "seadec" "seadec" "seadec" "seadec"
#> [77] "seadec" "simple_ma" "simple_ma" "simple_ma"
#> [81] "simple_ma" "simple_ma" "simple_ma" "simple_ma"
#> [85] "simple_ma" "simple_ma" "simple_ma" "simple_ma"
#> [89] "spline_i" "spline_i" "spline_i" "spline_i"
#> [93] "spline_i" "spline_i" "spline_i" "spline_i"
#> [97] "spline_i" "spline_i" "spline_i" "stine_i"
#> [101] "stine_i" "stine_i" "stine_i" "stine_i"
#> [105] "stine_i" "stine_i" "stine_i" "stine_i"
#> [109] "stine_i" "stine_i" "stl" "stl"
#> [113] "stl" "stl" "stl" "stl"
#> [117] "stl" "stl" "stl" "stl"
#> [121] "stl"
#>
#> $actual_methods
#> [1] "StructTS" "auto.arima" "exponential_ma" "linear_i"
#> [5] "linear_ma" "locf" "seadec" "simple_ma"
#> [9] "spline_i" "stine_i" "stl" "StructTS"
#> [13] "auto.arima" "exponential_ma" "linear_i" "linear_ma"
#> [17] "locf" "seadec" "simple_ma" "spline_i"
#> [21] "stine_i" "stl" "StructTS" "auto.arima"
#> [25] "exponential_ma" "linear_i" "linear_ma" "locf"
#> [29] "seadec" "simple_ma" "spline_i" "stine_i"
#> [33] "stl" "StructTS" "auto.arima" "exponential_ma"
#> [37] "linear_i" "linear_ma" "locf" "seadec"
#> [41] "simple_ma" "spline_i" "stine_i" "stl"
#> [45] "StructTS" "auto.arima" "exponential_ma" "linear_i"
#> [49] "linear_ma" "locf" "seadec" "simple_ma"
#> [53] "spline_i" "stine_i" "stl" "StructTS"
#> [57] "auto.arima" "exponential_ma" "linear_i" "linear_ma"
#> [61] "locf" "seadec" "simple_ma" "spline_i"
#> [65] "stine_i" "stl" "StructTS" "auto.arima"
#> [69] "exponential_ma" "linear_i" "linear_ma" "locf"
#> [73] "seadec" "simple_ma" "spline_i" "stine_i"
#> [77] "stl" "StructTS" "auto.arima" "exponential_ma"
#> [81] "linear_i" "linear_ma" "locf" "seadec"
#> [85] "simple_ma" "spline_i" "stine_i" "stl"
#> [89] "StructTS" "auto.arima" "exponential_ma" "linear_i"
#> [93] "linear_ma" "locf" "seadec" "simple_ma"
#> [97] "spline_i" "stine_i" "stl" "StructTS"
#> [101] "auto.arima" "exponential_ma" "linear_i" "linear_ma"
#> [105] "locf" "seadec" "simple_ma" "spline_i"
#> [109] "stine_i" "stl" "StructTS" "auto.arima"
#> [113] "exponential_ma" "linear_i" "linear_ma" "locf"
#> [117] "seadec" "simple_ma" "spline_i" "stine_i"
#> [121] "stl"
#>
#> $mean_na
#> [1] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [8] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [15] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [22] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [29] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [36] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [43] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [50] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [57] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [64] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [71] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [78] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [85] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [92] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [99] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [106] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [113] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [120] 0.2008547 0.2008547
#>
#> $std_na
#> [1] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
#> [112] 0 0 0 0 0 0 0 0 0 0
#>
#> $mean_rmse
#> [1] 13.70783 18.44962 15.44824 13.70783 16.16999 20.65496 13.70783 17.35283
#> [9] 16.02200 13.81248 13.70783 13.69752 18.58835 15.35591 13.65196 16.03682
#> [17] 19.95200 13.69752 17.15262 15.79642 13.75522 13.65196 14.41203 19.91375
#> [25] 15.77992 14.39679 16.34610 19.70225 14.41203 17.30401 16.87074 14.65115
#> [33] 14.39679 13.68640 18.58185 15.34753 13.63937 16.02999 19.95003 13.68640
#> [41] 17.14839 15.78502 13.74251 13.63937 14.81045 20.26408 16.00191 14.78060
#> [49] 16.51325 19.72890 14.81045 17.40164 17.46707 15.07542 14.78060 14.20804
#> [57] 22.54442 15.70161 14.20746 16.40552 23.48665 14.20804 17.59008 16.56209
#> [65] 14.48544 14.20746 13.62552 18.81639 15.33485 13.62552 16.05605 20.51354
#> [73] 13.62552 17.24599 16.00208 13.76559 13.62552 15.31749 21.52256 16.29383
#> [81] 15.29614 16.73260 19.87580 15.31749 17.53245 18.29979 15.60692 15.29614
#> [89] 13.44708 15.85683 15.14065 13.32401 15.87892 20.45360 13.44708 17.09491
#> [97] 15.53574 13.40973 13.32401 13.64314 18.57585 15.31307 13.58828 16.00232
#> [105] 20.00012 13.64314 17.13166 15.72246 13.68670 13.58828 13.71290 18.51994
#> [113] 15.34464 13.71290 16.04249 20.50821 13.71290 17.22077 16.20353 13.91354
#> [121] 13.71290
#>
#> $std_rmse
#> [1] 3.304705 11.837723 4.136940 3.304705 3.919539 4.715850 3.304705
#> [8] 3.763980 3.295344 3.883347 3.304705 3.404583 11.694523 4.140265
#> [15] 3.293026 3.928334 4.834591 3.404583 3.774364 3.348608 3.853573
#> [22] 3.293026 3.269074 10.837597 4.152301 3.294649 3.952124 4.944738
#> [29] 3.269074 3.803907 3.282836 3.730854 3.294649 3.404475 11.681783
#> [36] 4.136989 3.289224 3.924895 4.836138 3.404475 3.770868 3.345581
#> [43] 3.850523 3.289224 3.245793 10.997764 4.152445 3.286686 3.959616
#> [50] 4.974627 3.245793 3.815771 3.246671 3.700360 3.286686 3.352201
#> [57] 15.221573 4.203528 3.353331 3.976914 4.241981 3.352201 3.794766
#> [64] 3.523281 3.829317 3.353331 3.307033 11.780893 4.158172 3.307033
#> [71] 3.940151 4.782344 3.307033 3.780954 3.299612 3.883537 3.307033
#> [78] 3.237614 11.006446 4.150285 3.276661 3.967137 4.985803 3.237614
#> [85] 3.828884 3.221092 3.690063 3.276661 3.550257 4.570859 4.095485
#> [92] 3.242668 3.882329 4.766230 3.550257 3.731401 3.354859 3.824763
#> [99] 3.242668 3.416804 11.670005 4.133514 3.281818 3.921765 4.826723
#> [106] 3.416804 3.768258 3.344884 3.842278 3.281818 3.094702 11.866401
#> [113] 4.050163 3.094702 3.859541 4.847657 3.094702 3.734649 3.210321
#> [120] 3.653542 3.094702
#>
#> $mean_cor
#> [1] 0.9862118 0.9706575 0.9823127 0.9862118 0.9808328 0.9696304 0.9862118
#> [8] 0.9781430 0.9815108 0.9857532 0.9862118 0.9859498 0.9698975 0.9822026
#> [15] 0.9860876 0.9808003 0.9708953 0.9859498 0.9782510 0.9816556 0.9856338
#> [22] 0.9860876 0.9844250 0.9671382 0.9810649 0.9844458 0.9798713 0.9711019
#> [29] 0.9844250 0.9776388 0.9789702 0.9837226 0.9844458 0.9859928 0.9699747
#> [36] 0.9822492 0.9861343 0.9808460 0.9709564 0.9859928 0.9782951 0.9817137
#> [43] 0.9856819 0.9861343 0.9835359 0.9658778 0.9804824 0.9835826 0.9793929
#> [50] 0.9708534 0.9835359 0.9773014 0.9774279 0.9827652 0.9835826 0.9848440
#> [57] 0.9543885 0.9812631 0.9848447 0.9797737 0.9602497 0.9848440 0.9769838
#> [64] 0.9796446 0.9840485 0.9848447 0.9863670 0.9698739 0.9825425 0.9863670
#> [71] 0.9810772 0.9699888 0.9863670 0.9783927 0.9815652 0.9858426 0.9863670
#> [78] 0.9823634 0.9622986 0.9797174 0.9823957 0.9787728 0.9702626 0.9823634
#> [85] 0.9768668 0.9751907 0.9815161 0.9823957 0.9865217 0.9813551 0.9828849
#> [92] 0.9868834 0.9813899 0.9699860 0.9865217 0.9786500 0.9824510 0.9864640
#> [99] 0.9868834 0.9860822 0.9700193 0.9823398 0.9862467 0.9809255 0.9708536
#> [106] 0.9860822 0.9783542 0.9818690 0.9858053 0.9862467 0.9862800 0.9704606
#> [113] 0.9825691 0.9862800 0.9811391 0.9699413 0.9862800 0.9784665 0.9811354
#> [120] 0.9856570 0.9862800
#>
#> $std_cor
#> [1] 0.006851712 0.042539944 0.010925892 0.006851712 0.010680517 0.013736249
#> [7] 0.006851712 0.010833145 0.008583839 0.008571221 0.006851712 0.007332712
#> [13] 0.042363531 0.011044977 0.006956823 0.010774272 0.014003611 0.007332712
#> [19] 0.010890785 0.008728614 0.008656171 0.006956823 0.007355123 0.039249216
#> [25] 0.011348749 0.007383714 0.011041461 0.014482982 0.007355123 0.011107767
#> [31] 0.009128090 0.008972669 0.007383714 0.007320704 0.042207127 0.011017981
#> [37] 0.006934602 0.010748211 0.013963169 0.007320704 0.010864984 0.008694311
#> [43] 0.008628026 0.006934602 0.007527597 0.040416719 0.011491145 0.007581329
#> [49] 0.011168753 0.014695772 0.007527597 0.011215101 0.009338894 0.009161781
#> [55] 0.007581329 0.007292215 0.058567469 0.011393170 0.007293317 0.011114011
#> [61] 0.014182197 0.007292215 0.011209856 0.009765958 0.008995519 0.007293317
#> [67] 0.006828819 0.041628700 0.010921255 0.006828819 0.010677306 0.013781041
#> [73] 0.006828819 0.010826558 0.008568320 0.008536047 0.006828819 0.007786933
#> [79] 0.041317445 0.011665771 0.007838317 0.011323845 0.014935707 0.007786933
#> [85] 0.011344028 0.009674587 0.009452321 0.007838317 0.007621641 0.010577196
#> [91] 0.010731391 0.006615867 0.010490956 0.013750206 0.007621641 0.010654663
#> [97] 0.008479070 0.008314374 0.006615867 0.007344557 0.042016110 0.010993321
#> [103] 0.006894190 0.010727192 0.013928254 0.007344557 0.010848166 0.008659454
#> [109] 0.008582690 0.006894190 0.006506305 0.042745854 0.010676743 0.006506305
#> [115] 0.010473773 0.014050307 0.006506305 0.010692209 0.008246231 0.008207900
#> [121] 0.006506305
#>
#> $mean_mase
#> [1] 0.1415244 0.1972781 0.1671708 0.1415244 0.1786359 0.2356904 0.1415244
#> [8] 0.1971694 0.1590881 0.1410246 0.1415244 0.1529354 0.2138473 0.1822392
#> [15] 0.1528769 0.1939516 0.2423308 0.1529354 0.2127757 0.1665699 0.1504864
#> [22] 0.1528769 0.1621819 0.2326194 0.1825743 0.1620556 0.1928778 0.2292148
#> [29] 0.1621819 0.2095113 0.1854616 0.1638004 0.1620556 0.1528704 0.2136576
#> [36] 0.1824836 0.1527874 0.1941813 0.2420322 0.1528704 0.2130820 0.1665438
#> [43] 0.1502755 0.1527874 0.1648579 0.2342268 0.1817411 0.1645412 0.1911252
#> [50] 0.2247070 0.1648579 0.2066600 0.1915894 0.1670798 0.1645412 0.1625079
#> [57] 0.2787433 0.1853838 0.1625302 0.1979293 0.2968176 0.1625079 0.2186976
#> [64] 0.1862479 0.1639576 0.1625302 0.1415048 0.2058366 0.1667810 0.1415048
#> [71] 0.1780065 0.2360590 0.1415048 0.1966471 0.1589562 0.1416424 0.1415048
#> [78] 0.1656094 0.2431406 0.1783596 0.1650663 0.1865069 0.2201793 0.1656094
#> [85] 0.2006191 0.1963822 0.1677384 0.1650663 0.1427275 0.1617616 0.1728227
#> [92] 0.1427471 0.1855580 0.2438126 0.1427275 0.2053933 0.1516850 0.1406500
#> [99] 0.1427471 0.1513242 0.2116722 0.1819196 0.1512630 0.1937473 0.2429083
#> [106] 0.1513242 0.2128659 0.1644438 0.1485507 0.1512630 0.1425704 0.1970425
#> [113] 0.1659484 0.1425704 0.1764871 0.2364496 0.1425704 0.1942094 0.1599346
#> [120] 0.1437910 0.1425704
#>
#> $std_mase
#> [1] 0.02338313 0.15871138 0.03023949 0.02338313 0.02954179 0.03072217
#> [7] 0.02338313 0.03018455 0.02462627 0.02631089 0.02338313 0.02521553
#> [13] 0.16849604 0.03225279 0.02506170 0.03122631 0.03403247 0.02521553
#> [19] 0.03169514 0.03022969 0.02792667 0.02506170 0.02551823 0.15374660
#> [25] 0.03296074 0.02569304 0.03159670 0.03337690 0.02551823 0.03154031
#> [31] 0.02923925 0.02710510 0.02569304 0.02525619 0.16830033 0.03221066
#> [37] 0.02503855 0.03119687 0.03396453 0.02525619 0.03169394 0.03033280
#> [43] 0.02784545 0.02503855 0.02540031 0.15301241 0.03287063 0.02573645
#> [49] 0.03151753 0.03274292 0.02540031 0.03126910 0.02910217 0.02711020
#> [55] 0.02573645 0.02746122 0.22462470 0.03388703 0.02742438 0.03158079
#> [61] 0.03933161 0.02746122 0.03053788 0.03101981 0.02953444 0.02742438
#> [67] 0.02273902 0.15896682 0.03075655 0.02273902 0.03010100 0.03107850
#> [73] 0.02273902 0.03057875 0.02555926 0.02570596 0.02273902 0.02502984
#> [79] 0.14774445 0.03214389 0.02539819 0.03085955 0.03183190 0.02502984
#> [85] 0.03047315 0.02874444 0.02701083 0.02539819 0.02232362 0.04331342
#> [91] 0.03044205 0.02237624 0.02950145 0.03274941 0.02232362 0.03037801
#> [97] 0.02967568 0.02459888 0.02237624 0.02497771 0.16827428 0.03210283
#> [103] 0.02481624 0.03114714 0.03382089 0.02497771 0.03161536 0.02976771
#> [109] 0.02758251 0.02481624 0.01991794 0.15613089 0.02889594 0.01991794
#> [115] 0.02869155 0.03172140 0.01991794 0.02962050 0.02725261 0.02214151
#> [121] 0.01991794
#>
#> $mean_smape
#> [1] 0.01370977 0.02278623 0.01601681 0.01370977 0.01710438 0.02176023
#> [7] 0.01370977 0.01882583 0.01570412 0.01366324 0.01370977 0.01360863
#> [13] 0.02265140 0.01610250 0.01358539 0.01715961 0.02043860 0.01360863
#> [19] 0.01876916 0.01512538 0.01334009 0.01358539 0.01451874 0.02464643
#> [25] 0.01640486 0.01450944 0.01736972 0.01997392 0.01451874 0.01885706
#> [31] 0.01686074 0.01460123 0.01450944 0.01359973 0.02262996 0.01611630
#> [37] 0.01357453 0.01717191 0.02040501 0.01359973 0.01878498 0.01511959
#> [43] 0.01332009 0.01357453 0.01493734 0.02510764 0.01658336 0.01490922
#> [49] 0.01749253 0.02000236 0.01493734 0.01892434 0.01757078 0.01507054
#> [55] 0.01490922 0.01434528 0.02973158 0.01631079 0.01434720 0.01740345
#> [61] 0.02450047 0.01434528 0.01914950 0.01660426 0.01439727 0.01434720
#> [67] 0.01363901 0.02432106 0.01590086 0.01363901 0.01693426 0.02175615
#> [73] 0.01363901 0.01864012 0.01570680 0.01363789 0.01363901 0.01546912
#> [79] 0.02772545 0.01681998 0.01540259 0.01766024 0.02029955 0.01546912
#> [85] 0.01903271 0.01849037 0.01559384 0.01540259 0.01328157 0.01669031
#> [91] 0.01591542 0.01326857 0.01708346 0.02128544 0.01328157 0.01882566
#> [97] 0.01439570 0.01303380 0.01326857 0.01347927 0.02245540 0.01607866
#> [103] 0.01345636 0.01714616 0.02045990 0.01347927 0.01877821 0.01495445
#> [109] 0.01318622 0.01345636 0.01415709 0.02320551 0.01617740 0.01415709
#> [115] 0.01713959 0.02280036 0.01415709 0.01876898 0.01627529 0.01423166
#> [121] 0.01415709
#>
#> $std_smape
#> [1] 0.002095481 0.024387473 0.002737688 0.002095481 0.002644070 0.002048783
#> [7] 0.002095481 0.002667583 0.002964031 0.002402576 0.002095481 0.002110299
#> [13] 0.023754356 0.002677706 0.002050458 0.002574090 0.002042135 0.002110299
#> [19] 0.002599143 0.003314218 0.002314762 0.002050458 0.002067503 0.023036776
#> [25] 0.002734650 0.002079336 0.002618481 0.002026497 0.002067503 0.002607458
#> [31] 0.003209535 0.002261464 0.002079336 0.002116099 0.023715063 0.002675896
#> [37] 0.002051330 0.002572885 0.002037820 0.002116099 0.002599418 0.003325363
#> [43] 0.002312141 0.002051330 0.002077730 0.023344432 0.002758401 0.002098745
#> [49] 0.002644184 0.002030616 0.002077730 0.002618641 0.003160189 0.002272768
#> [55] 0.002098745 0.002252490 0.029044543 0.002813018 0.002249485 0.002641369
#> [61] 0.002463655 0.002252490 0.002551164 0.003304670 0.002438292 0.002249485
#> [67] 0.002052280 0.024442148 0.002795723 0.002052280 0.002723481 0.002117420
#> [73] 0.002052280 0.002731072 0.002988528 0.002328867 0.002052280 0.002104543
#> [79] 0.023678936 0.002778588 0.002118176 0.002671519 0.002051049 0.002104543
#> [85] 0.002633088 0.003095432 0.002306927 0.002118176 0.002002585 0.006129335
#> [91] 0.002660371 0.001969782 0.002559604 0.002048177 0.002002585 0.002613083
#> [97] 0.003411341 0.002196524 0.001969782 0.002093073 0.023706480 0.002668251
#> [103] 0.002033856 0.002566737 0.002035607 0.002093073 0.002594133 0.003269717
#> [109] 0.002291109 0.002033856 0.001937604 0.024278457 0.002782535 0.001937604
#> [115] 0.002749243 0.002609790 0.001937604 0.002775537 0.003318695 0.002138008
#> [121] 0.001937604
#>
#> attr(,"class")
#> [1] "kssa.table"
#> attr(,"row.names")
#> [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
#> [19] 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36
#> [37] 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54
#> [55] 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72
#> [73] 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90
#> [91] 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108
#> [109] 109 110 111 112 113 114 115 116 117 118 119 120 121
#> attr(,"groups")
#> # A tibble: 11 × 2
#> start_methods .rows
#> <chr> <list<int>>
#> 1 StructTS [11]
#> 2 auto.arima [11]
#> 3 exponential_ma [11]
#> 4 linear_i [11]
#> 5 linear_ma [11]
#> 6 locf [11]
#> 7 seadec [11]
#> 8 simple_ma [11]
#> 9 spline_i [11]
#> 10 stine_i [11]
#> 11 stl [11]
#>
#> [[3]]
#> start_methods actual_methods percent_md rmse cor mase
#> 1 auto.arima auto.arima 0.2008547 50.221686 0.8518680 0.68772416
#> 2 auto.arima StructTS 0.2008547 11.279754 0.9909809 0.13502459
#> 3 auto.arima linear_i 0.2008547 11.279754 0.9909809 0.13502459
#> 4 auto.arima spline_i 0.2008547 15.404245 0.9831279 0.16756661
#> 5 auto.arima stine_i 0.2008547 10.834129 0.9916850 0.13030577
#> 6 auto.arima simple_ma 0.2008547 15.258470 0.9834326 0.20767128
#> 7 auto.arima linear_ma 0.2008547 13.738451 0.9865799 0.18409075
#> 8 auto.arima exponential_ma 0.2008547 12.774625 0.9883968 0.17046033
#> 9 auto.arima seadec 0.2008547 11.279754 0.9909809 0.13502459
#> 10 auto.arima locf 0.2008547 22.184072 0.9654332 0.24636015
#> 11 auto.arima stl 0.2008547 11.279754 0.9909809 0.13502459
#> 12 auto.arima auto.arima 0.2008547 12.363469 0.9891170 0.13965908
#> 13 auto.arima StructTS 0.2008547 12.391737 0.9890651 0.14078032
#> 14 auto.arima linear_i 0.2008547 12.391737 0.9890651 0.14078032
#> 15 auto.arima spline_i 0.2008547 12.932340 0.9881083 0.13066428
#> 16 auto.arima stine_i 0.2008547 12.208707 0.9893883 0.13750560
#> 17 auto.arima simple_ma 0.2008547 15.720242 0.9824274 0.18935552
#> 18 auto.arima linear_ma 0.2008547 14.887102 0.9842350 0.17283804
#> 19 auto.arima exponential_ma 0.2008547 14.329378 0.9853879 0.16243532
#> 20 auto.arima seadec 0.2008547 12.391737 0.9890651 0.14078032
#> 21 auto.arima locf 0.2008547 14.025445 0.9861424 0.20256931
#> 22 auto.arima stl 0.2008547 12.391737 0.9890651 0.14078032
#> 23 auto.arima auto.arima 0.2008547 15.039329 0.9840302 0.15965042
#> 24 auto.arima StructTS 0.2008547 14.979487 0.9841388 0.15922513
#> 25 auto.arima linear_i 0.2008547 14.979487 0.9841388 0.15922513
#> 26 auto.arima spline_i 0.2008547 15.443394 0.9831951 0.15420538
#> 27 auto.arima stine_i 0.2008547 14.890865 0.9843441 0.15808511
#> 28 auto.arima simple_ma 0.2008547 17.253864 0.9790649 0.21962561
#> 29 auto.arima linear_ma 0.2008547 16.061506 0.9818565 0.20074677
#> 30 auto.arima exponential_ma 0.2008547 15.289299 0.9835387 0.18761574
#> 31 auto.arima seadec 0.2008547 14.979487 0.9841388 0.15922513
#> 32 auto.arima locf 0.2008547 17.833316 0.9776037 0.25059473
#> 33 auto.arima stl 0.2008547 14.979487 0.9841388 0.15922513
#> 34 auto.arima auto.arima 0.2008547 15.274981 0.9835267 0.16406961
#> 35 auto.arima StructTS 0.2008547 15.248805 0.9835755 0.16411996
#> 36 auto.arima linear_i 0.2008547 15.248805 0.9835755 0.16411996
#> 37 auto.arima spline_i 0.2008547 15.622024 0.9826373 0.16152708
#> 38 auto.arima stine_i 0.2008547 15.224208 0.9836363 0.16347075
#> 39 auto.arima simple_ma 0.2008547 18.663178 0.9754816 0.22750816
#> 40 auto.arima linear_ma 0.2008547 17.575603 0.9782752 0.21003697
#> 41 auto.arima exponential_ma 0.2008547 16.821556 0.9800963 0.19838745
#> 42 auto.arima seadec 0.2008547 15.248805 0.9835755 0.16411996
#> 43 auto.arima locf 0.2008547 20.796697 0.9691597 0.23366299
#> 44 auto.arima stl 0.2008547 15.248805 0.9835755 0.16411996
#> 45 auto.arima auto.arima 0.2008547 12.398602 0.9891067 0.13937791
#> 46 auto.arima StructTS 0.2008547 12.499905 0.9889399 0.14038067
#> 47 auto.arima linear_i 0.2008547 12.499905 0.9889399 0.14038067
#> 48 auto.arima spline_i 0.2008547 13.261475 0.9875522 0.13334471
#> 49 auto.arima stine_i 0.2008547 12.415817 0.9890899 0.13439887
#> 50 auto.arima simple_ma 0.2008547 15.201050 0.9835973 0.19207990
#> 51 auto.arima linear_ma 0.2008547 14.111100 0.9858692 0.17411088
#> 52 auto.arima exponential_ma 0.2008547 13.394562 0.9872772 0.16252965
#> 53 auto.arima seadec 0.2008547 12.499905 0.9889399 0.14038067
#> 54 auto.arima locf 0.2008547 19.229133 0.9755390 0.26391334
#> 55 auto.arima stl 0.2008547 12.499905 0.9889399 0.14038067
#> 56 auto.arima auto.arima 0.2008547 17.247500 0.9790052 0.17798580
#> 57 auto.arima StructTS 0.2008547 14.607728 0.9847870 0.16279495
#> 58 auto.arima linear_i 0.2008547 14.607728 0.9847870 0.16279495
#> 59 auto.arima spline_i 0.2008547 15.579394 0.9828012 0.17903633
#> 60 auto.arima stine_i 0.2008547 14.419788 0.9851734 0.15841111
#> 61 auto.arima simple_ma 0.2008547 17.822872 0.9775372 0.22303786
#> 62 auto.arima linear_ma 0.2008547 16.511860 0.9807081 0.20114323
#> 63 auto.arima exponential_ma 0.2008547 15.624091 0.9826977 0.18735745
#> 64 auto.arima seadec 0.2008547 14.607728 0.9847870 0.16279495
#> 65 auto.arima locf 0.2008547 20.582133 0.9701414 0.22972036
#> 66 auto.arima stl 0.2008547 14.607728 0.9847870 0.16279495
#> 67 auto.arima auto.arima 0.2008547 17.715257 0.9780957 0.17314644
#> 68 auto.arima StructTS 0.2008547 14.470313 0.9852060 0.15344609
#> 69 auto.arima linear_i 0.2008547 14.470313 0.9852060 0.15344609
#> 70 auto.arima spline_i 0.2008547 18.433765 0.9764048 0.17806388
#> 71 auto.arima stine_i 0.2008547 14.944087 0.9842123 0.14996057
#> 72 auto.arima simple_ma 0.2008547 16.400889 0.9809036 0.21442885
#> 73 auto.arima linear_ma 0.2008547 15.598283 0.9827428 0.19411299
#> 74 auto.arima exponential_ma 0.2008547 15.287259 0.9834298 0.18086706
#> 75 auto.arima seadec 0.2008547 14.470313 0.9852060 0.15344609
#> 76 auto.arima locf 0.2008547 24.626406 0.9570487 0.25198323
#> 77 auto.arima stl 0.2008547 14.470313 0.9852060 0.15344609
#> 78 auto.arima auto.arima 0.2008547 23.033940 0.9623073 0.22065406
#> 79 auto.arima StructTS 0.2008547 21.283351 0.9677903 0.21264230
#> 80 auto.arima linear_i 0.2008547 20.827812 0.9691684 0.21205681
#> 81 auto.arima spline_i 0.2008547 24.046719 0.9589596 0.22772740
#> 82 auto.arima stine_i 0.2008547 22.660995 0.9635016 0.21717112
#> 83 auto.arima simple_ma 0.2008547 26.832282 0.9489966 0.28838648
#> 84 auto.arima linear_ma 0.2008547 26.086476 0.9517755 0.26951542
#> 85 auto.arima exponential_ma 0.2008547 25.939720 0.9523390 0.26183630
#> 86 auto.arima seadec 0.2008547 21.283351 0.9677903 0.21264230
#> 87 auto.arima locf 0.2008547 29.812517 0.9406359 0.32039762
#> 88 auto.arima stl 0.2008547 20.827812 0.9691684 0.21205681
#> 89 auto.arima auto.arima 0.2008547 10.652332 0.9920213 0.13418046
#> 90 auto.arima StructTS 0.2008547 8.299808 0.9950925 0.11907220
#> 91 auto.arima linear_i 0.2008547 8.299808 0.9950925 0.11907220
#> 92 auto.arima spline_i 0.2008547 14.469257 0.9852866 0.19527939
#> 93 auto.arima stine_i 0.2008547 8.006617 0.9954311 0.11334026
#> 94 auto.arima simple_ma 0.2008547 12.743000 0.9884340 0.17399781
#> 95 auto.arima linear_ma 0.2008547 11.302283 0.9909000 0.15503685
#> 96 auto.arima exponential_ma 0.2008547 10.232836 0.9925412 0.14214425
#> 97 auto.arima seadec 0.2008547 8.299808 0.9950925 0.11907220
#> 98 auto.arima locf 0.2008547 14.918819 0.9843367 0.20773121
#> 99 auto.arima stl 0.2008547 8.299808 0.9950925 0.11907220
#> 100 auto.arima auto.arima 0.2008547 11.936354 0.9898964 0.14202457
#> 101 auto.arima StructTS 0.2008547 11.914263 0.9899222 0.14186818
#> 102 auto.arima linear_i 0.2008547 11.914263 0.9899222 0.14186818
#> 103 auto.arima spline_i 0.2008547 12.771628 0.9884830 0.13828426
#> 104 auto.arima stine_i 0.2008547 11.946959 0.9898764 0.14221441
#> 105 auto.arima simple_ma 0.2008547 15.630361 0.9826345 0.19166569
#> 106 auto.arima linear_ma 0.2008547 14.495498 0.9850611 0.17788426
#> 107 auto.arima exponential_ma 0.2008547 13.865815 0.9863216 0.16875860
#> 108 auto.arima seadec 0.2008547 11.914263 0.9899222 0.14186818
#> 109 auto.arima locf 0.2008547 15.511442 0.9829127 0.21637535
#> 110 auto.arima stl 0.2008547 11.914263 0.9899222 0.14186818
#> 111 StructTS auto.arima 0.2008547 50.778927 0.8516054 0.64451781
#> 112 StructTS StructTS 0.2008547 11.416010 0.9908888 0.12712609
#> 113 StructTS linear_i 0.2008547 11.416010 0.9908888 0.12712609
#> 114 StructTS spline_i 0.2008547 15.700939 0.9827918 0.15705735
#> 115 StructTS stine_i 0.2008547 10.906597 0.9916827 0.12331124
#> 116 StructTS simple_ma 0.2008547 15.688577 0.9827793 0.19754618
#> 117 StructTS linear_ma 0.2008547 14.105789 0.9860831 0.17561354
#> 118 StructTS exponential_ma 0.2008547 13.089013 0.9880146 0.16240632
#> 119 StructTS seadec 0.2008547 11.416010 0.9908888 0.12712609
#> 120 StructTS locf 0.2008547 23.039145 0.9636111 0.24624250
#> 121 StructTS stl 0.2008547 11.416010 0.9908888 0.12712609
#> 122 StructTS auto.arima 0.2008547 12.675561 0.9887718 0.13802647
#> 123 StructTS StructTS 0.2008547 12.677636 0.9887594 0.13806953
#> 124 StructTS linear_i 0.2008547 12.677636 0.9887594 0.13806953
#> 125 StructTS spline_i 0.2008547 13.321611 0.9876553 0.13231828
#> 126 StructTS stine_i 0.2008547 12.690483 0.9887377 0.14029200
#> 127 StructTS simple_ma 0.2008547 16.165431 0.9817344 0.17877093
#> 128 StructTS linear_ma 0.2008547 15.243108 0.9837565 0.16318805
#> 129 StructTS exponential_ma 0.2008547 14.612766 0.9850695 0.15403566
#> 130 StructTS seadec 0.2008547 12.677636 0.9887594 0.13806953
#> 131 StructTS locf 0.2008547 15.247300 0.9840467 0.20789765
#> 132 StructTS stl 0.2008547 12.677636 0.9887594 0.13806953
#> 133 StructTS auto.arima 0.2008547 14.730985 0.9849704 0.13961268
#> 134 StructTS StructTS 0.2008547 14.656306 0.9850994 0.13907002
#> 135 StructTS linear_i 0.2008547 14.656306 0.9850994 0.13907002
#> 136 StructTS spline_i 0.2008547 15.308836 0.9838271 0.14034272
#> 137 StructTS stine_i 0.2008547 14.498074 0.9854363 0.13643540
#> 138 StructTS simple_ma 0.2008547 17.342356 0.9791411 0.20453941
#> 139 StructTS linear_ma 0.2008547 15.994715 0.9822733 0.18380682
#> 140 StructTS exponential_ma 0.2008547 15.110012 0.9841770 0.16835450
#> 141 StructTS seadec 0.2008547 14.656306 0.9850994 0.13907002
#> 142 StructTS locf 0.2008547 18.088349 0.9773809 0.23315452
#> 143 StructTS stl 0.2008547 14.656306 0.9850994 0.13907002
#> 144 StructTS auto.arima 0.2008547 15.144504 0.9840511 0.14588576
#> 145 StructTS StructTS 0.2008547 15.113122 0.9841084 0.14592067
#> 146 StructTS linear_i 0.2008547 15.113122 0.9841084 0.14592067
#> 147 StructTS spline_i 0.2008547 15.496763 0.9831810 0.15271942
#> 148 StructTS stine_i 0.2008547 15.112598 0.9841004 0.14750565
#> 149 StructTS simple_ma 0.2008547 18.695637 0.9757740 0.20532098
#> 150 StructTS linear_ma 0.2008547 17.534308 0.9787095 0.18728667
#> 151 StructTS exponential_ma 0.2008547 16.739074 0.9805942 0.17575750
#> 152 StructTS seadec 0.2008547 15.113122 0.9841084 0.14592067
#> 153 StructTS locf 0.2008547 21.066361 0.9689258 0.22170465
#> 154 StructTS stl 0.2008547 15.113122 0.9841084 0.14592067
#> 155 StructTS auto.arima 0.2008547 13.008340 0.9882589 0.13471146
#> 156 StructTS StructTS 0.2008547 13.038052 0.9882253 0.13881120
#> 157 StructTS linear_i 0.2008547 13.038052 0.9882253 0.13881120
#> 158 StructTS spline_i 0.2008547 14.117175 0.9861570 0.14454163
#> 159 StructTS stine_i 0.2008547 12.869269 0.9885212 0.13498346
#> 160 StructTS simple_ma 0.2008547 15.585648 0.9831281 0.17781961
#> 161 StructTS linear_ma 0.2008547 14.525109 0.9853552 0.16393392
#> 162 StructTS exponential_ma 0.2008547 13.854004 0.9866930 0.15499576
#> 163 StructTS seadec 0.2008547 13.038052 0.9882253 0.13881120
#> 164 StructTS locf 0.2008547 20.699457 0.9724025 0.26443074
#> 165 StructTS stl 0.2008547 13.038052 0.9882253 0.13881120
#> 166 StructTS auto.arima 0.2008547 16.144690 0.9818477 0.16350733
#> 167 StructTS StructTS 0.2008547 14.701227 0.9848564 0.15389111
#> 168 StructTS linear_i 0.2008547 14.701227 0.9848564 0.15389111
#> 169 StructTS spline_i 0.2008547 15.944633 0.9823438 0.17211963
#> 170 StructTS stine_i 0.2008547 14.521111 0.9852261 0.15197298
#> 171 StructTS simple_ma 0.2008547 17.934534 0.9776170 0.20440684
#> 172 StructTS linear_ma 0.2008547 16.588928 0.9808356 0.18209606
#> 173 StructTS exponential_ma 0.2008547 15.686954 0.9828349 0.17011009
#> 174 StructTS seadec 0.2008547 14.701227 0.9848564 0.15389111
#> 175 StructTS locf 0.2008547 21.226479 0.9688356 0.22709628
#> 176 StructTS stl 0.2008547 14.701227 0.9848564 0.15389111
#> 177 StructTS auto.arima 0.2008547 17.054296 0.9799424 0.15775083
#> 178 StructTS StructTS 0.2008547 14.488109 0.9854064 0.14023674
#> 179 StructTS linear_i 0.2008547 14.488109 0.9854064 0.14023674
#> 180 StructTS spline_i 0.2008547 18.658043 0.9761851 0.16718085
#> 181 StructTS stine_i 0.2008547 14.962098 0.9844311 0.13990425
#> 182 StructTS simple_ma 0.2008547 16.199735 0.9816935 0.19480728
#> 183 StructTS linear_ma 0.2008547 15.403544 0.9834635 0.17436179
#> 184 StructTS exponential_ma 0.2008547 15.131278 0.9840463 0.16165581
#> 185 StructTS seadec 0.2008547 14.488109 0.9854064 0.14023674
#> 186 StructTS locf 0.2008547 25.144112 0.9559428 0.24556247
#> 187 StructTS stl 0.2008547 14.488109 0.9854064 0.14023674
#> 188 StructTS auto.arima 0.2008547 22.456275 0.9647829 0.19871285
#> 189 StructTS StructTS 0.2008547 20.914784 0.9694120 0.19588212
#> 190 StructTS linear_i 0.2008547 20.914784 0.9694120 0.19588212
#> 191 StructTS spline_i 0.2008547 24.237998 0.9590794 0.20839999
#> 192 StructTS stine_i 0.2008547 22.796988 0.9637101 0.20303274
#> 193 StructTS simple_ma 0.2008547 27.096274 0.9488905 0.27138199
#> 194 StructTS linear_ma 0.2008547 26.275927 0.9519224 0.25277344
#> 195 StructTS exponential_ma 0.2008547 26.083842 0.9526537 0.24391343
#> 196 StructTS seadec 0.2008547 20.914784 0.9694120 0.19588212
#> 197 StructTS locf 0.2008547 30.270314 0.9401837 0.30229073
#> 198 StructTS stl 0.2008547 20.914784 0.9694120 0.19588212
#> 199 StructTS auto.arima 0.2008547 10.427511 0.9925127 0.11655967
#> 200 StructTS StructTS 0.2008547 8.016606 0.9955108 0.10288799
#> 201 StructTS linear_i 0.2008547 8.016606 0.9955108 0.10288799
#> 202 StructTS spline_i 0.2008547 14.366011 0.9857736 0.18516414
#> 203 StructTS stine_i 0.2008547 7.697912 0.9958578 0.09854296
#> 204 StructTS simple_ma 0.2008547 12.913452 0.9883601 0.15953400
#> 205 StructTS linear_ma 0.2008547 11.320578 0.9910518 0.13928429
#> 206 StructTS exponential_ma 0.2008547 10.140590 0.9928212 0.12553965
#> 207 StructTS seadec 0.2008547 8.016606 0.9955108 0.10288799
#> 208 StructTS locf 0.2008547 15.813309 0.9827474 0.20377490
#> 209 StructTS stl 0.2008547 8.016606 0.9955108 0.10288799
#> 210 StructTS auto.arima 0.2008547 12.075099 0.9898312 0.13349612
#> 211 StructTS StructTS 0.2008547 12.056463 0.9898508 0.13334828
#> 212 StructTS linear_i 0.2008547 12.056463 0.9898508 0.13334828
#> 213 StructTS spline_i 0.2008547 13.068018 0.9881143 0.13103730
#> 214 StructTS stine_i 0.2008547 12.069692 0.9898281 0.13426534
#> 215 StructTS simple_ma 0.2008547 15.906688 0.9823118 0.17756719
#> 216 StructTS linear_ma 0.2008547 14.707935 0.9848768 0.16401403
#> 217 StructTS exponential_ma 0.2008547 14.034872 0.9862227 0.15493944
#> 218 StructTS seadec 0.2008547 12.056463 0.9898508 0.13334828
#> 219 StructTS locf 0.2008547 15.954792 0.9822279 0.20474975
#> 220 StructTS stl 0.2008547 12.056463 0.9898508 0.13334828
#> 221 linear_i auto.arima 0.2008547 50.167565 0.8524000 0.68693771
#> 222 linear_i StructTS 0.2008547 11.281992 0.9909896 0.13510273
#> 223 linear_i linear_i 0.2008547 11.281992 0.9909896 0.13510273
#> 224 linear_i spline_i 0.2008547 15.387639 0.9831880 0.16788443
#> 225 linear_i stine_i 0.2008547 10.836436 0.9916925 0.13010020
#> 226 linear_i simple_ma 0.2008547 15.267365 0.9834406 0.20823157
#> 227 linear_i linear_ma 0.2008547 13.747912 0.9865832 0.18472408
#> 228 linear_i exponential_ma 0.2008547 12.784090 0.9883981 0.17125615
#> 229 linear_i seadec 0.2008547 11.281992 0.9909896 0.13510273
#> 230 linear_i locf 0.2008547 22.214040 0.9654108 0.24648572
#> 231 linear_i stl 0.2008547 11.281992 0.9909896 0.13510273
#> 232 linear_i auto.arima 0.2008547 12.326120 0.9891969 0.13923200
#> 233 linear_i StructTS 0.2008547 12.357603 0.9891396 0.14054859
#> 234 linear_i linear_i 0.2008547 12.357603 0.9891396 0.14054859
#> 235 linear_i spline_i 0.2008547 12.899645 0.9881896 0.13024636
#> 236 linear_i stine_i 0.2008547 12.177936 0.9894546 0.13723709
#> 237 linear_i simple_ma 0.2008547 15.699465 0.9824962 0.18954142
#> 238 linear_i linear_ma 0.2008547 14.864047 0.9843040 0.17304315
#> 239 linear_i exponential_ma 0.2008547 14.304652 0.9854573 0.16261063
#> 240 linear_i seadec 0.2008547 12.357603 0.9891396 0.14054859
#> 241 linear_i locf 0.2008547 13.995134 0.9862175 0.20172376
#> 242 linear_i stl 0.2008547 12.357603 0.9891396 0.14054859
#> 243 linear_i auto.arima 0.2008547 15.009947 0.9841086 0.15958217
#> 244 linear_i StructTS 0.2008547 14.951648 0.9842142 0.15919310
#> 245 linear_i linear_i 0.2008547 14.951648 0.9842142 0.15919310
#> 246 linear_i spline_i 0.2008547 15.419657 0.9832653 0.15407205
#> 247 linear_i stine_i 0.2008547 14.857414 0.9844298 0.15791621
#> 248 linear_i simple_ma 0.2008547 17.223866 0.9791595 0.21971628
#> 249 linear_i linear_ma 0.2008547 16.028475 0.9819489 0.20062773
#> 250 linear_i exponential_ma 0.2008547 15.255552 0.9836270 0.18761415
#> 251 linear_i seadec 0.2008547 14.951648 0.9842142 0.15919310
#> 252 linear_i locf 0.2008547 17.812350 0.9776917 0.25020705
#> 253 linear_i stl 0.2008547 14.951648 0.9842142 0.15919310
#> 254 linear_i auto.arima 0.2008547 15.266586 0.9835669 0.16402993
#> 255 linear_i StructTS 0.2008547 15.241303 0.9836141 0.16411707
#> 256 linear_i linear_i 0.2008547 15.241303 0.9836141 0.16411707
#> 257 linear_i spline_i 0.2008547 15.630513 0.9826452 0.16158579
#> 258 linear_i stine_i 0.2008547 15.219178 0.9836709 0.16343421
#> 259 linear_i simple_ma 0.2008547 18.654702 0.9755368 0.22780339
#> 260 linear_i linear_ma 0.2008547 17.566043 0.9783276 0.21034821
#> 261 linear_i exponential_ma 0.2008547 16.811591 0.9801460 0.19866963
#> 262 linear_i seadec 0.2008547 15.241303 0.9836141 0.16411707
#> 263 linear_i locf 0.2008547 20.801758 0.9691951 0.23403587
#> 264 linear_i stl 0.2008547 15.241303 0.9836141 0.16411707
#> 265 linear_i auto.arima 0.2008547 12.392650 0.9891387 0.13896840
#> 266 linear_i StructTS 0.2008547 12.496975 0.9889680 0.14024605
#> 267 linear_i linear_i 0.2008547 12.496975 0.9889680 0.14024605
#> 268 linear_i spline_i 0.2008547 13.251864 0.9875957 0.13313373
#> 269 linear_i stine_i 0.2008547 12.413543 0.9891169 0.13404025
#> 270 linear_i simple_ma 0.2008547 15.217029 0.9835946 0.19269372
#> 271 linear_i linear_ma 0.2008547 14.122635 0.9858739 0.17467419
#> 272 linear_i exponential_ma 0.2008547 13.402964 0.9872868 0.16318380
#> 273 linear_i seadec 0.2008547 12.496975 0.9889680 0.14024605
#> 274 linear_i locf 0.2008547 19.281454 0.9754749 0.26391247
#> 275 linear_i stl 0.2008547 12.496975 0.9889680 0.14024605
#> 276 linear_i auto.arima 0.2008547 17.297322 0.9789330 0.17855131
#> 277 linear_i StructTS 0.2008547 14.588236 0.9848512 0.16266484
#> 278 linear_i linear_i 0.2008547 14.588236 0.9848512 0.16266484
#> 279 linear_i spline_i 0.2008547 15.572004 0.9828517 0.17938710
#> 280 linear_i stine_i 0.2008547 14.398597 0.9852406 0.15812401
#> 281 linear_i simple_ma 0.2008547 17.824012 0.9775677 0.22362520
#> 282 linear_i linear_ma 0.2008547 16.505774 0.9807505 0.20154719
#> 283 linear_i exponential_ma 0.2008547 15.612543 0.9827485 0.18768260
#> 284 linear_i seadec 0.2008547 14.588236 0.9848512 0.16266484
#> 285 linear_i locf 0.2008547 20.569759 0.9702322 0.22934638
#> 286 linear_i stl 0.2008547 14.588236 0.9848512 0.16266484
#> 287 linear_i auto.arima 0.2008547 17.757552 0.9780458 0.17326563
#> 288 linear_i StructTS 0.2008547 14.467713 0.9852438 0.15357328
#> 289 linear_i linear_i 0.2008547 14.467713 0.9852438 0.15357328
#> 290 linear_i spline_i 0.2008547 18.424616 0.9764817 0.17817970
#> 291 linear_i stine_i 0.2008547 14.938307 0.9842590 0.14994576
#> 292 linear_i simple_ma 0.2008547 16.407343 0.9809238 0.21465768
#> 293 linear_i linear_ma 0.2008547 15.601233 0.9827693 0.19417920
#> 294 linear_i exponential_ma 0.2008547 15.288107 0.9834605 0.18091401
#> 295 linear_i seadec 0.2008547 14.467713 0.9852438 0.15357328
#> 296 linear_i locf 0.2008547 24.601752 0.9572118 0.25117521
#> 297 linear_i stl 0.2008547 14.467713 0.9852438 0.15357328
#> 298 linear_i auto.arima 0.2008547 23.026478 0.9623900 0.22026546
#> 299 linear_i StructTS 0.2008547 21.279178 0.9678501 0.21262807
#> 300 linear_i linear_i 0.2008547 20.808853 0.9692649 0.21179861
#> 301 linear_i spline_i 0.2008547 24.020195 0.9591168 0.22740728
#> 302 linear_i stine_i 0.2008547 22.641259 0.9636187 0.21659145
#> 303 linear_i simple_ma 0.2008547 26.822581 0.9491057 0.28859937
#> 304 linear_i linear_ma 0.2008547 26.075604 0.9518853 0.26963224
#> 305 linear_i exponential_ma 0.2008547 25.928260 0.9524522 0.26193845
#> 306 linear_i seadec 0.2008547 21.279178 0.9678501 0.21262807
#> 307 linear_i locf 0.2008547 29.802385 0.9408069 0.31968716
#> 308 linear_i stl 0.2008547 20.808853 0.9692649 0.21179861
#> 309 linear_i auto.arima 0.2008547 10.647220 0.9920434 0.13389790
#> 310 linear_i StructTS 0.2008547 8.292648 0.9951106 0.11885591
#> 311 linear_i linear_i 0.2008547 8.292648 0.9951106 0.11885591
#> 312 linear_i spline_i 0.2008547 14.485447 0.9852854 0.19558278
#> 313 linear_i stine_i 0.2008547 7.988480 0.9954603 0.11309187
#> 314 linear_i simple_ma 0.2008547 12.741706 0.9884577 0.17411073
#> 315 linear_i linear_ma 0.2008547 11.299380 0.9909216 0.15507444
#> 316 linear_i exponential_ma 0.2008547 10.229302 0.9925606 0.14215365
#> 317 linear_i seadec 0.2008547 8.292648 0.9951106 0.11885591
#> 318 linear_i locf 0.2008547 14.933467 0.9843348 0.20772934
#> 319 linear_i stl 0.2008547 8.292648 0.9951106 0.11885591
#> 320 linear_i auto.arima 0.2008547 11.927025 0.9899235 0.14184528
#> 321 linear_i StructTS 0.2008547 11.906723 0.9899469 0.14177391
#> 322 linear_i linear_i 0.2008547 11.906723 0.9899469 0.14177391
#> 323 linear_i spline_i 0.2008547 12.758661 0.9885172 0.13795919
#> 324 linear_i stine_i 0.2008547 11.953970 0.9898761 0.14227386
#> 325 linear_i simple_ma 0.2008547 15.625853 0.9826685 0.19184104
#> 326 linear_i linear_ma 0.2008547 14.488826 0.9850953 0.17796272
#> 327 linear_i exponential_ma 0.2008547 13.858193 0.9863554 0.16881297
#> 328 linear_i seadec 0.2008547 11.906723 0.9899469 0.14177391
#> 329 linear_i locf 0.2008547 15.488190 0.9829887 0.21601915
#> 330 linear_i stl 0.2008547 11.906723 0.9899469 0.14177391
#> 331 spline_i auto.arima 0.2008547 22.259491 0.9673655 0.26771524
#> 332 spline_i StructTS 0.2008547 11.113714 0.9913317 0.12929977
#> 333 spline_i linear_i 0.2008547 11.113714 0.9913317 0.12929977
#> 334 spline_i spline_i 0.2008547 15.041749 0.9840801 0.15253590
#> 335 spline_i stine_i 0.2008547 10.581744 0.9921422 0.12477854
#> 336 spline_i simple_ma 0.2008547 15.366377 0.9833923 0.20267491
#> 337 spline_i linear_ma 0.2008547 13.767256 0.9866800 0.17850929
#> 338 spline_i exponential_ma 0.2008547 12.760662 0.9885549 0.16467924
#> 339 spline_i seadec 0.2008547 11.113714 0.9913317 0.12929977
#> 340 spline_i locf 0.2008547 23.072641 0.9632624 0.25609529
#> 341 spline_i stl 0.2008547 11.113714 0.9913317 0.12929977
#> 342 spline_i auto.arima 0.2008547 11.875777 0.9900670 0.12705263
#> 343 spline_i StructTS 0.2008547 11.916329 0.9899948 0.13156705
#> 344 spline_i linear_i 0.2008547 11.916329 0.9899948 0.13156705
#> 345 spline_i spline_i 0.2008547 12.406262 0.9892016 0.11296195
#> 346 spline_i stine_i 0.2008547 11.825217 0.9901508 0.13027946
#> 347 spline_i simple_ma 0.2008547 15.637946 0.9827939 0.18260140
#> 348 spline_i linear_ma 0.2008547 14.680293 0.9848315 0.16495050
#> 349 spline_i exponential_ma 0.2008547 14.039066 0.9861218 0.15397776
#> 350 spline_i seadec 0.2008547 11.916329 0.9899948 0.13156705
#> 351 spline_i locf 0.2008547 14.619000 0.9851269 0.20550550
#> 352 spline_i stl 0.2008547 11.916329 0.9899948 0.13156705
#> 353 spline_i auto.arima 0.2008547 15.023272 0.9841959 0.15126410
#> 354 spline_i StructTS 0.2008547 14.393328 0.9855005 0.14431334
#> 355 spline_i linear_i 0.2008547 14.393328 0.9855005 0.14431334
#> 356 spline_i spline_i 0.2008547 15.010105 0.9842716 0.13688451
#> 357 spline_i stine_i 0.2008547 14.328565 0.9856438 0.14417746
#> 358 spline_i simple_ma 0.2008547 17.047867 0.9797623 0.21136761
#> 359 spline_i linear_ma 0.2008547 15.688268 0.9828618 0.19073903
#> 360 spline_i exponential_ma 0.2008547 14.805929 0.9847151 0.17512815
#> 361 spline_i seadec 0.2008547 14.393328 0.9855005 0.14431334
#> 362 spline_i locf 0.2008547 17.900238 0.9777036 0.24518751
#> 363 spline_i stl 0.2008547 14.393328 0.9855005 0.14431334
#> 364 spline_i auto.arima 0.2008547 14.967369 0.9843391 0.15396038
#> 365 spline_i StructTS 0.2008547 14.941498 0.9843864 0.15426770
#> 366 spline_i linear_i 0.2008547 14.941498 0.9843864 0.15426770
#> 367 spline_i spline_i 0.2008547 15.346982 0.9834077 0.15062702
#> 368 spline_i stine_i 0.2008547 14.916838 0.9844425 0.15309776
#> 369 spline_i simple_ma 0.2008547 18.549544 0.9760614 0.21766864
#> 370 spline_i linear_ma 0.2008547 17.381757 0.9789964 0.19992574
#> 371 spline_i exponential_ma 0.2008547 16.581129 0.9808782 0.18817549
#> 372 spline_i seadec 0.2008547 14.941498 0.9843864 0.15426770
#> 373 spline_i locf 0.2008547 20.977601 0.9689881 0.23256179
#> 374 spline_i stl 0.2008547 14.941498 0.9843864 0.15426770
#> 375 spline_i auto.arima 0.2008547 12.496380 0.9890907 0.13383944
#> 376 spline_i StructTS 0.2008547 12.635793 0.9888647 0.13566003
#> 377 spline_i linear_i 0.2008547 12.635793 0.9888647 0.13566003
#> 378 spline_i spline_i 0.2008547 13.256853 0.9877670 0.11987758
#> 379 spline_i stine_i 0.2008547 12.426943 0.9892174 0.12999833
#> 380 spline_i simple_ma 0.2008547 15.273364 0.9836435 0.18470254
#> 381 spline_i linear_ma 0.2008547 14.189356 0.9858929 0.16780091
#> 382 spline_i exponential_ma 0.2008547 13.514356 0.9872196 0.15658568
#> 383 spline_i seadec 0.2008547 12.635793 0.9888647 0.13566003
#> 384 spline_i locf 0.2008547 20.816063 0.9719299 0.27837620
#> 385 spline_i stl 0.2008547 12.635793 0.9888647 0.13566003
#> 386 spline_i auto.arima 0.2008547 17.937445 0.9778296 0.16387867
#> 387 spline_i StructTS 0.2008547 14.026802 0.9861262 0.14786159
#> 388 spline_i linear_i 0.2008547 14.026802 0.9861262 0.14786159
#> 389 spline_i spline_i 0.2008547 15.122076 0.9840312 0.16174721
#> 390 spline_i stine_i 0.2008547 13.802382 0.9865664 0.14242662
#> 391 spline_i simple_ma 0.2008547 17.637386 0.9782425 0.21537254
#> 392 spline_i linear_ma 0.2008547 16.163389 0.9817180 0.19077709
#> 393 spline_i exponential_ma 0.2008547 15.164659 0.9838798 0.17440639
#> 394 spline_i seadec 0.2008547 14.026802 0.9861262 0.14786159
#> 395 spline_i locf 0.2008547 20.669927 0.9702749 0.22480150
#> 396 spline_i stl 0.2008547 14.026802 0.9861262 0.14786159
#> 397 spline_i auto.arima 0.2008547 18.424712 0.9766272 0.16146533
#> 398 spline_i StructTS 0.2008547 14.240036 0.9858476 0.14219282
#> 399 spline_i linear_i 0.2008547 14.240036 0.9858476 0.14219282
#> 400 spline_i spline_i 0.2008547 18.448544 0.9766030 0.16307560
#> 401 spline_i stine_i 0.2008547 14.687335 0.9849278 0.13978961
#> 402 spline_i simple_ma 0.2008547 16.241998 0.9815028 0.20739009
#> 403 spline_i linear_ma 0.2008547 15.366855 0.9834634 0.18557097
#> 404 spline_i exponential_ma 0.2008547 15.033171 0.9841799 0.17126687
#> 405 spline_i seadec 0.2008547 14.240036 0.9858476 0.14219282
#> 406 spline_i locf 0.2008547 24.871750 0.9566331 0.25415124
#> 407 spline_i stl 0.2008547 14.240036 0.9858476 0.14219282
#> 408 spline_i auto.arima 0.2008547 23.573861 0.9609911 0.19904742
#> 409 spline_i StructTS 0.2008547 21.640903 0.9670822 0.19647443
#> 410 spline_i linear_i 0.2008547 20.410219 0.9707000 0.19667105
#> 411 spline_i spline_i 0.2008547 23.689077 0.9606442 0.20188521
#> 412 spline_i stine_i 0.2008547 22.278853 0.9651127 0.20064968
#> 413 spline_i simple_ma 0.2008547 26.733547 0.9499007 0.27766991
#> 414 spline_i linear_ma 0.2008547 25.894452 0.9529824 0.25724383
#> 415 spline_i exponential_ma 0.2008547 25.697266 0.9537232 0.24831899
#> 416 spline_i seadec 0.2008547 21.640903 0.9670822 0.19647443
#> 417 spline_i locf 0.2008547 30.094326 0.9406105 0.31148960
#> 418 spline_i stl 0.2008547 20.410219 0.9707000 0.19667105
#> 419 spline_i auto.arima 0.2008547 10.350331 0.9925800 0.12461025
#> 420 spline_i StructTS 0.2008547 7.926028 0.9955906 0.11084987
#> 421 spline_i linear_i 0.2008547 7.926028 0.9955906 0.11084987
#> 422 spline_i spline_i 0.2008547 14.630666 0.9852519 0.19287843
#> 423 spline_i stine_i 0.2008547 7.628573 0.9959106 0.10647583
#> 424 spline_i simple_ma 0.2008547 12.742413 0.9885769 0.16602495
#> 425 spline_i linear_ma 0.2008547 11.193803 0.9911859 0.14697836
#> 426 spline_i exponential_ma 0.2008547 10.053666 0.9928938 0.13264745
#> 427 spline_i seadec 0.2008547 7.926028 0.9955906 0.11084987
#> 428 spline_i locf 0.2008547 15.792174 0.9826915 0.21482428
#> 429 spline_i stl 0.2008547 7.926028 0.9955906 0.11084987
#> 430 spline_i auto.arima 0.2008547 11.659662 0.9904655 0.13478286
#> 431 spline_i StructTS 0.2008547 11.636370 0.9904920 0.13478800
#> 432 spline_i linear_i 0.2008547 11.636370 0.9904920 0.13478800
#> 433 spline_i spline_i 0.2008547 12.405059 0.9892523 0.12437613
#> 434 spline_i stine_i 0.2008547 11.620866 0.9905260 0.13482650
#> 435 spline_i simple_ma 0.2008547 15.718630 0.9826240 0.18846054
#> 436 spline_i linear_ma 0.2008547 14.463788 0.9852867 0.17308447
#> 437 spline_i exponential_ma 0.2008547 13.756585 0.9866825 0.16304097
#> 438 spline_i seadec 0.2008547 11.636370 0.9904920 0.13478800
#> 439 spline_i locf 0.2008547 15.722255 0.9826388 0.21513342
#> 440 spline_i stl 0.2008547 11.636370 0.9904920 0.13478800
#> 441 stine_i auto.arima 0.2008547 50.056439 0.8531298 0.68549968
#> 442 stine_i StructTS 0.2008547 11.260047 0.9910309 0.13411663
#> 443 stine_i linear_i 0.2008547 11.260047 0.9910309 0.13411663
#> 444 stine_i spline_i 0.2008547 15.310158 0.9833658 0.16525479
#> 445 stine_i stine_i 0.2008547 10.815080 0.9917307 0.12900631
#> 446 stine_i simple_ma 0.2008547 15.261989 0.9834665 0.20785124
#> 447 stine_i linear_ma 0.2008547 13.735984 0.9866184 0.18395922
#> 448 stine_i exponential_ma 0.2008547 12.770986 0.9884320 0.17108886
#> 449 stine_i seadec 0.2008547 11.260047 0.9910309 0.13411663
#> 450 stine_i locf 0.2008547 22.362523 0.9649995 0.24934889
#> 451 stine_i stl 0.2008547 11.260047 0.9910309 0.13411663
#> 452 stine_i auto.arima 0.2008547 12.280846 0.9892838 0.13772458
#> 453 stine_i StructTS 0.2008547 12.311758 0.9892278 0.13933166
#> 454 stine_i linear_i 0.2008547 12.311758 0.9892278 0.13933166
#> 455 stine_i spline_i 0.2008547 12.851856 0.9882884 0.12871674
#> 456 stine_i stine_i 0.2008547 12.125276 0.9895532 0.13577409
#> 457 stine_i simple_ma 0.2008547 15.685703 0.9825403 0.18928076
#> 458 stine_i linear_ma 0.2008547 14.840342 0.9843659 0.17264452
#> 459 stine_i exponential_ma 0.2008547 14.274405 0.9855295 0.16207241
#> 460 stine_i seadec 0.2008547 12.311758 0.9892278 0.13933166
#> 461 stine_i locf 0.2008547 14.027506 0.9861621 0.20241318
#> 462 stine_i stl 0.2008547 12.311758 0.9892278 0.13933166
#> 463 stine_i auto.arima 0.2008547 14.936327 0.9842730 0.15770906
#> 464 stine_i StructTS 0.2008547 14.878172 0.9843777 0.15730089
#> 465 stine_i linear_i 0.2008547 14.878172 0.9843777 0.15730089
#> 466 stine_i spline_i 0.2008547 15.350556 0.9834227 0.15219065
#> 467 stine_i stine_i 0.2008547 14.775791 0.9846084 0.15586736
#> 468 stine_i simple_ma 0.2008547 17.178560 0.9792853 0.21909053
#> 469 stine_i linear_ma 0.2008547 15.967770 0.9820985 0.19996188
#> 470 stine_i exponential_ma 0.2008547 15.185259 0.9837884 0.18666132
#> 471 stine_i seadec 0.2008547 14.878172 0.9843777 0.15730089
#> 472 stine_i locf 0.2008547 17.840235 0.9776426 0.25083154
#> 473 stine_i stl 0.2008547 14.878172 0.9843777 0.15730089
#> 474 stine_i auto.arima 0.2008547 15.221312 0.9836737 0.16255068
#> 475 stine_i StructTS 0.2008547 15.196130 0.9837205 0.16262289
#> 476 stine_i linear_i 0.2008547 15.196130 0.9837205 0.16262289
#> 477 stine_i spline_i 0.2008547 15.569889 0.9827901 0.16055370
#> 478 stine_i stine_i 0.2008547 15.170750 0.9837837 0.16169415
#> 479 stine_i simple_ma 0.2008547 18.630144 0.9756233 0.22757219
#> 480 stine_i linear_ma 0.2008547 17.531396 0.9784318 0.20992655
#> 481 stine_i exponential_ma 0.2008547 16.770657 0.9802587 0.19806081
#> 482 stine_i seadec 0.2008547 15.196130 0.9837205 0.16262289
#> 483 stine_i locf 0.2008547 20.837183 0.9691141 0.23510648
#> 484 stine_i stl 0.2008547 15.196130 0.9837205 0.16262289
#> 485 stine_i auto.arima 0.2008547 12.391751 0.9891512 0.13833940
#> 486 stine_i StructTS 0.2008547 12.498635 0.9889766 0.13949800
#> 487 stine_i linear_i 0.2008547 12.498635 0.9889766 0.13949800
#> 488 stine_i spline_i 0.2008547 13.199489 0.9877087 0.13127406
#> 489 stine_i stine_i 0.2008547 12.415489 0.9891249 0.13326695
#> 490 stine_i simple_ma 0.2008547 15.216431 0.9836074 0.19270003
#> 491 stine_i linear_ma 0.2008547 14.125468 0.9858790 0.17461826
#> 492 stine_i exponential_ma 0.2008547 13.410671 0.9872827 0.16343374
#> 493 stine_i seadec 0.2008547 12.498635 0.9889766 0.13949800
#> 494 stine_i locf 0.2008547 19.440839 0.9751163 0.26604591
#> 495 stine_i stl 0.2008547 12.498635 0.9889766 0.13949800
#> 496 stine_i auto.arima 0.2008547 17.353900 0.9788461 0.17627027
#> 497 stine_i StructTS 0.2008547 14.482998 0.9850798 0.16016943
#> 498 stine_i linear_i 0.2008547 14.482998 0.9850798 0.16016943
#> 499 stine_i spline_i 0.2008547 15.472901 0.9830912 0.17620465
#> 500 stine_i stine_i 0.2008547 14.280207 0.9854931 0.15542884
#> 501 stine_i simple_ma 0.2008547 17.787362 0.9776771 0.22344857
#> 502 stine_i linear_ma 0.2008547 16.445999 0.9809049 0.20067797
#> 503 stine_i exponential_ma 0.2008547 15.536383 0.9829299 0.18643197
#> 504 stine_i seadec 0.2008547 14.482998 0.9850798 0.16016943
#> 505 stine_i locf 0.2008547 20.559534 0.9702878 0.22865567
#> 506 stine_i stl 0.2008547 14.482998 0.9850798 0.16016943
#> 507 stine_i auto.arima 0.2008547 17.800202 0.9779752 0.17159384
#> 508 stine_i StructTS 0.2008547 14.403641 0.9853899 0.15144361
#> 509 stine_i linear_i 0.2008547 14.403641 0.9853899 0.15144361
#> 510 stine_i spline_i 0.2008547 18.363787 0.9766597 0.17511039
#> 511 stine_i stine_i 0.2008547 14.857874 0.9844429 0.14715327
#> 512 stine_i simple_ma 0.2008547 16.383266 0.9809981 0.21418909
#> 513 stine_i linear_ma 0.2008547 15.562852 0.9828715 0.19339498
#> 514 stine_i exponential_ma 0.2008547 15.241237 0.9835789 0.17986418
#> 515 stine_i seadec 0.2008547 14.403641 0.9853899 0.15144361
#> 516 stine_i locf 0.2008547 24.621528 0.9571739 0.25202995
#> 517 stine_i stl 0.2008547 14.403641 0.9853899 0.15144361
#> 518 stine_i auto.arima 0.2008547 23.239831 0.9617247 0.21378503
#> 519 stine_i StructTS 0.2008547 21.306290 0.9677961 0.21071876
#> 520 stine_i linear_i 0.2008547 20.757633 0.9694408 0.21010677
#> 521 stine_i spline_i 0.2008547 23.963568 0.9593470 0.22354090
#> 522 stine_i stine_i 0.2008547 22.589213 0.9638154 0.21470484
#> 523 stine_i simple_ma 0.2008547 26.812435 0.9491837 0.28833984
#> 524 stine_i linear_ma 0.2008547 26.056962 0.9519910 0.26934048
#> 525 stine_i exponential_ma 0.2008547 25.903861 0.9525778 0.26134617
#> 526 stine_i seadec 0.2008547 21.306290 0.9677961 0.21071876
#> 527 stine_i locf 0.2008547 29.797184 0.9408844 0.31922508
#> 528 stine_i stl 0.2008547 20.757633 0.9694408 0.21010677
#> 529 stine_i auto.arima 0.2008547 10.607893 0.9921082 0.13247747
#> 530 stine_i StructTS 0.2008547 8.244319 0.9951718 0.11738190
#> 531 stine_i linear_i 0.2008547 8.244319 0.9951718 0.11738190
#> 532 stine_i spline_i 0.2008547 14.450491 0.9853708 0.19481523
#> 533 stine_i stine_i 0.2008547 7.943276 0.9955154 0.11169862
#> 534 stine_i simple_ma 0.2008547 12.736769 0.9884754 0.17387895
#> 535 stine_i linear_ma 0.2008547 11.286347 0.9909496 0.15477510
#> 536 stine_i exponential_ma 0.2008547 10.209505 0.9925953 0.14152450
#> 537 stine_i seadec 0.2008547 8.244319 0.9951718 0.11738190
#> 538 stine_i locf 0.2008547 15.031114 0.9841450 0.20953042
#> 539 stine_i stl 0.2008547 8.244319 0.9951718 0.11738190
#> 540 stine_i auto.arima 0.2008547 11.869988 0.9900276 0.14077161
#> 541 stine_i StructTS 0.2008547 11.849423 0.9900511 0.14065818
#> 542 stine_i linear_i 0.2008547 11.849423 0.9900511 0.14065818
#> 543 stine_i spline_i 0.2008547 12.691907 0.9886459 0.13677645
#> 544 stine_i stine_i 0.2008547 11.894045 0.9899852 0.14091222
#> 545 stine_i simple_ma 0.2008547 15.623956 0.9826850 0.19230746
#> 546 stine_i linear_ma 0.2008547 14.470118 0.9851446 0.17817377
#> 547 stine_i exponential_ma 0.2008547 13.827750 0.9864253 0.16871244
#> 548 stine_i seadec 0.2008547 11.849423 0.9900511 0.14065818
#> 549 stine_i locf 0.2008547 15.483506 0.9830105 0.21589592
#> 550 stine_i stl 0.2008547 11.849423 0.9900511 0.14065818
#> 551 simple_ma auto.arima 0.2008547 27.493726 0.9487777 0.32736126
#> 552 simple_ma StructTS 0.2008547 12.761797 0.9882458 0.15249949
#> 553 simple_ma linear_i 0.2008547 12.586235 0.9885707 0.15039662
#> 554 simple_ma spline_i 0.2008547 18.130851 0.9762428 0.19669267
#> 555 simple_ma stine_i 0.2008547 12.575204 0.9886111 0.15138468
#> 556 simple_ma simple_ma 0.2008547 15.290819 0.9830377 0.19381341
#> 557 simple_ma linear_ma 0.2008547 14.048072 0.9856953 0.17641238
#> 558 simple_ma exponential_ma 0.2008547 13.304611 0.9871733 0.16554319
#> 559 simple_ma seadec 0.2008547 12.761797 0.9882458 0.15249949
#> 560 simple_ma locf 0.2008547 21.393024 0.9669355 0.21559770
#> 561 simple_ma stl 0.2008547 12.586235 0.9885707 0.15039662
#> 562 simple_ma auto.arima 0.2008547 14.423156 0.9849426 0.15625658
#> 563 simple_ma StructTS 0.2008547 14.363384 0.9850506 0.15645904
#> 564 simple_ma linear_i 0.2008547 14.383059 0.9850072 0.15645060
#> 565 simple_ma spline_i 0.2008547 15.901291 0.9816611 0.17079085
#> 566 simple_ma stine_i 0.2008547 14.542798 0.9846749 0.16137661
#> 567 simple_ma simple_ma 0.2008547 16.246088 0.9808970 0.18170993
#> 568 simple_ma linear_ma 0.2008547 15.743299 0.9820541 0.16971637
#> 569 simple_ma exponential_ma 0.2008547 15.443617 0.9827239 0.16320523
#> 570 simple_ma seadec 0.2008547 14.363384 0.9850506 0.15645904
#> 571 simple_ma locf 0.2008547 14.414951 0.9851381 0.18715467
#> 572 simple_ma stl 0.2008547 14.383059 0.9850072 0.15645060
#> 573 simple_ma auto.arima 0.2008547 17.444632 0.9781692 0.17518942
#> 574 simple_ma StructTS 0.2008547 17.357303 0.9783585 0.17463762
#> 575 simple_ma linear_i 0.2008547 17.357303 0.9783585 0.17463762
#> 576 simple_ma spline_i 0.2008547 18.993291 0.9741849 0.19696222
#> 577 simple_ma stine_i 0.2008547 17.415226 0.9782311 0.17621503
#> 578 simple_ma simple_ma 0.2008547 18.224793 0.9762314 0.21434261
#> 579 simple_ma linear_ma 0.2008547 17.491301 0.9781045 0.19909352
#> 580 simple_ma exponential_ma 0.2008547 17.065352 0.9791417 0.19014500
#> 581 simple_ma seadec 0.2008547 17.357303 0.9783585 0.17463762
#> 582 simple_ma locf 0.2008547 18.763759 0.9746867 0.23835825
#> 583 simple_ma stl 0.2008547 17.357303 0.9783585 0.17463762
#> 584 simple_ma auto.arima 0.2008547 16.683079 0.9800186 0.17064108
#> 585 simple_ma StructTS 0.2008547 16.710341 0.9799469 0.17247232
#> 586 simple_ma linear_i 0.2008547 16.644866 0.9800962 0.17111598
#> 587 simple_ma spline_i 0.2008547 17.215992 0.9785564 0.18173557
#> 588 simple_ma stine_i 0.2008547 16.604212 0.9801916 0.17102800
#> 589 simple_ma simple_ma 0.2008547 19.166721 0.9736446 0.21594527
#> 590 simple_ma linear_ma 0.2008547 18.355699 0.9758520 0.20247814
#> 591 simple_ma exponential_ma 0.2008547 17.798176 0.9773006 0.19443945
#> 592 simple_ma seadec 0.2008547 16.710341 0.9799469 0.17247232
#> 593 simple_ma locf 0.2008547 21.230993 0.9672667 0.21917082
#> 594 simple_ma stl 0.2008547 16.644866 0.9800962 0.17111598
#> 595 simple_ma auto.arima 0.2008547 13.361496 0.9870727 0.15232310
#> 596 simple_ma StructTS 0.2008547 13.285033 0.9872166 0.15200141
#> 597 simple_ma linear_i 0.2008547 13.391581 0.9870134 0.15315994
#> 598 simple_ma spline_i 0.2008547 17.073352 0.9789570 0.18349878
#> 599 simple_ma stine_i 0.2008547 13.744517 0.9863218 0.15712956
#> 600 simple_ma simple_ma 0.2008547 15.123036 0.9834268 0.17755919
#> 601 simple_ma linear_ma 0.2008547 14.171317 0.9854446 0.16366194
#> 602 simple_ma exponential_ma 0.2008547 13.551774 0.9866908 0.15258530
#> 603 simple_ma seadec 0.2008547 13.285033 0.9872166 0.15200141
#> 604 simple_ma locf 0.2008547 16.728437 0.9806232 0.21877566
#> 605 simple_ma stl 0.2008547 13.391581 0.9870134 0.15315994
#> 606 simple_ma auto.arima 0.2008547 17.737233 0.9771749 0.19285887
#> 607 simple_ma StructTS 0.2008547 16.962483 0.9791168 0.18399619
#> 608 simple_ma linear_i 0.2008547 16.962483 0.9791168 0.18399619
#> 609 simple_ma spline_i 0.2008547 18.647220 0.9747973 0.21387440
#> 610 simple_ma stine_i 0.2008547 16.887989 0.9792907 0.18371013
#> 611 simple_ma simple_ma 0.2008547 18.595311 0.9750988 0.21116099
#> 612 simple_ma linear_ma 0.2008547 17.745531 0.9772990 0.19628098
#> 613 simple_ma exponential_ma 0.2008547 17.215946 0.9785969 0.18885746
#> 614 simple_ma seadec 0.2008547 16.962483 0.9791168 0.18399619
#> 615 simple_ma locf 0.2008547 21.328131 0.9672113 0.21995835
#> 616 simple_ma stl 0.2008547 16.962483 0.9791168 0.18399619
#> 617 simple_ma auto.arima 0.2008547 22.454317 0.9657610 0.25698621
#> 618 simple_ma StructTS 0.2008547 15.428974 0.9827946 0.15899074
#> 619 simple_ma linear_i 0.2008547 15.553166 0.9825319 0.15856067
#> 620 simple_ma spline_i 0.2008547 19.831813 0.9721972 0.19501110
#> 621 simple_ma stine_i 0.2008547 16.063963 0.9813697 0.15911036
#> 622 simple_ma simple_ma 0.2008547 16.657768 0.9798842 0.20117568
#> 623 simple_ma linear_ma 0.2008547 16.113785 0.9811806 0.18501927
#> 624 simple_ma exponential_ma 0.2008547 15.973359 0.9815083 0.17520742
#> 625 simple_ma seadec 0.2008547 15.428974 0.9827946 0.15899074
#> 626 simple_ma locf 0.2008547 24.821958 0.9556102 0.23098243
#> 627 simple_ma stl 0.2008547 15.553166 0.9825319 0.15856067
#> 628 simple_ma auto.arima 0.2008547 22.396671 0.9637320 0.22484271
#> 629 simple_ma StructTS 0.2008547 22.314902 0.9639732 0.22391202
#> 630 simple_ma linear_i 0.2008547 22.314902 0.9639732 0.22391202
#> 631 simple_ma spline_i 0.2008547 26.346787 0.9497872 0.26562634
#> 632 simple_ma stine_i 0.2008547 24.181274 0.9576736 0.23355146
#> 633 simple_ma simple_ma 0.2008547 27.141600 0.9468703 0.27091362
#> 634 simple_ma linear_ma 0.2008547 26.631986 0.9488244 0.25915868
#> 635 simple_ma exponential_ma 0.2008547 26.657499 0.9487410 0.25523667
#> 636 simple_ma seadec 0.2008547 22.314902 0.9639732 0.22391202
#> 637 simple_ma locf 0.2008547 30.034072 0.9378744 0.29364003
#> 638 simple_ma stl 0.2008547 22.314902 0.9639732 0.22391202
#> 639 simple_ma auto.arima 0.2008547 50.025771 0.8499427 0.63137275
#> 640 simple_ma StructTS 0.2008547 10.789070 0.9915465 0.13648348
#> 641 simple_ma linear_i 0.2008547 10.587000 0.9918634 0.13440384
#> 642 simple_ma spline_i 0.2008547 16.032534 0.9813835 0.19916401
#> 643 simple_ma stine_i 0.2008547 10.705799 0.9916861 0.13597941
#> 644 simple_ma simple_ma 0.2008547 13.226513 0.9872898 0.16507205
#> 645 simple_ma linear_ma 0.2008547 12.181496 0.9892181 0.14993183
#> 646 simple_ma exponential_ma 0.2008547 11.471674 0.9904384 0.14173201
#> 647 simple_ma seadec 0.2008547 10.789070 0.9915465 0.13648348
#> 648 simple_ma locf 0.2008547 14.092179 0.9857068 0.17843614
#> 649 simple_ma stl 0.2008547 10.587000 0.9918634 0.13440384
#> 650 simple_ma auto.arima 0.2008547 13.205510 0.9873943 0.14357388
#> 651 simple_ma StructTS 0.2008547 13.201622 0.9873850 0.14464142
#> 652 simple_ma linear_i 0.2008547 13.180804 0.9874253 0.14402956
#> 653 simple_ma spline_i 0.2008547 14.824816 0.9841393 0.16046586
#> 654 simple_ma stine_i 0.2008547 13.348217 0.9871101 0.14789918
#> 655 simple_ma simple_ma 0.2008547 15.651898 0.9822872 0.17449818
#> 656 simple_ma linear_ma 0.2008547 14.843534 0.9840554 0.16331580
#> 657 simple_ma exponential_ma 0.2008547 14.456313 0.9848593 0.15664377
#> 658 simple_ma seadec 0.2008547 13.201622 0.9873850 0.14464142
#> 659 simple_ma locf 0.2008547 15.950542 0.9815728 0.19971903
#> 660 simple_ma stl 0.2008547 13.180804 0.9874253 0.14402956
#> 661 linear_ma auto.arima 0.2008547 26.268096 0.9533930 0.32387603
#> 662 linear_ma StructTS 0.2008547 12.225727 0.9892609 0.15012361
#> 663 linear_ma linear_i 0.2008547 12.132102 0.9894261 0.14898002
#> 664 linear_ma spline_i 0.2008547 17.277611 0.9785068 0.19273846
#> 665 linear_ma stine_i 0.2008547 12.139282 0.9894399 0.15117183
#> 666 linear_ma simple_ma 0.2008547 15.237524 0.9832311 0.19983372
#> 667 linear_ma linear_ma 0.2008547 13.914181 0.9860288 0.18060163
#> 668 linear_ma exponential_ma 0.2008547 13.101002 0.9876170 0.16831605
#> 669 linear_ma seadec 0.2008547 12.225727 0.9892609 0.15012361
#> 670 linear_ma locf 0.2008547 21.321220 0.9673526 0.21912390
#> 671 linear_ma stl 0.2008547 12.132102 0.9894261 0.14898002
#> 672 linear_ma auto.arima 0.2008547 13.790859 0.9862837 0.15458326
#> 673 linear_ma StructTS 0.2008547 13.733071 0.9863866 0.15439928
#> 674 linear_ma linear_i 0.2008547 13.733071 0.9863866 0.15439928
#> 675 linear_ma spline_i 0.2008547 14.934900 0.9838913 0.16319566
#> 676 linear_ma stine_i 0.2008547 13.855708 0.9861463 0.15866255
#> 677 linear_ma simple_ma 0.2008547 16.058655 0.9814107 0.18658549
#> 678 linear_ma linear_ma 0.2008547 15.458267 0.9827681 0.17312625
#> 679 linear_ma exponential_ma 0.2008547 15.077355 0.9836003 0.16485290
#> 680 linear_ma seadec 0.2008547 13.733071 0.9863866 0.15439928
#> 681 linear_ma locf 0.2008547 14.077120 0.9858686 0.19032558
#> 682 linear_ma stl 0.2008547 13.733071 0.9863866 0.15439928
#> 683 linear_ma auto.arima 0.2008547 16.740939 0.9799677 0.17446289
#> 684 linear_ma StructTS 0.2008547 16.664931 0.9801248 0.17394737
#> 685 linear_ma linear_i 0.2008547 16.664931 0.9801248 0.17394737
#> 686 linear_ma spline_i 0.2008547 17.840117 0.9773151 0.18856759
#> 687 linear_ma stine_i 0.2008547 16.626132 0.9802383 0.17483582
#> 688 linear_ma simple_ma 0.2008547 17.946148 0.9770452 0.21901237
#> 689 linear_ma linear_ma 0.2008547 17.090320 0.9791805 0.20251486
#> 690 linear_ma exponential_ma 0.2008547 16.567375 0.9804180 0.19248204
#> 691 linear_ma seadec 0.2008547 16.664931 0.9801248 0.17394737
#> 692 linear_ma locf 0.2008547 18.474645 0.9755744 0.24305493
#> 693 linear_ma stl 0.2008547 16.664931 0.9801248 0.17394737
#> 694 linear_ma auto.arima 0.2008547 16.259269 0.9810992 0.17198808
#> 695 linear_ma StructTS 0.2008547 16.226250 0.9811646 0.17241774
#> 696 linear_ma linear_i 0.2008547 16.226250 0.9811646 0.17241774
#> 697 linear_ma spline_i 0.2008547 16.697683 0.9799149 0.17897137
#> 698 linear_ma stine_i 0.2008547 16.189406 0.9812513 0.17252595
#> 699 linear_ma simple_ma 0.2008547 19.009348 0.9741906 0.22217676
#> 700 linear_ma linear_ma 0.2008547 18.125402 0.9765584 0.20775825
#> 701 linear_ma exponential_ma 0.2008547 17.512831 0.9781191 0.19877732
#> 702 linear_ma seadec 0.2008547 16.226250 0.9811646 0.17241774
#> 703 linear_ma locf 0.2008547 21.031799 0.9680116 0.22234096
#> 704 linear_ma stl 0.2008547 16.226250 0.9811646 0.17241774
#> 705 linear_ma auto.arima 0.2008547 12.934398 0.9879415 0.15031878
#> 706 linear_ma StructTS 0.2008547 12.982998 0.9878534 0.15108869
#> 707 linear_ma linear_i 0.2008547 12.982998 0.9878534 0.15108869
#> 708 linear_ma spline_i 0.2008547 15.713045 0.9822410 0.17331559
#> 709 linear_ma stine_i 0.2008547 13.346633 0.9871605 0.15588929
#> 710 linear_ma simple_ma 0.2008547 15.117614 0.9835192 0.18382759
#> 711 linear_ma linear_ma 0.2008547 14.100365 0.9856603 0.16884262
#> 712 linear_ma exponential_ma 0.2008547 13.422682 0.9870076 0.15658585
#> 713 linear_ma seadec 0.2008547 12.982998 0.9878534 0.15108869
#> 714 linear_ma locf 0.2008547 16.991243 0.9802250 0.22660908
#> 715 linear_ma stl 0.2008547 12.982998 0.9878534 0.15108869
#> 716 linear_ma auto.arima 0.2008547 17.192758 0.9786489 0.19166960
#> 717 linear_ma StructTS 0.2008547 16.297571 0.9808042 0.18226132
#> 718 linear_ma linear_i 0.2008547 16.297571 0.9808042 0.18226132
#> 719 linear_ma spline_i 0.2008547 17.682468 0.9774441 0.20895483
#> 720 linear_ma stine_i 0.2008547 16.190201 0.9810476 0.18106561
#> 721 linear_ma simple_ma 0.2008547 18.380951 0.9757742 0.21744773
#> 722 linear_ma linear_ma 0.2008547 17.412764 0.9782392 0.20075582
#> 723 linear_ma exponential_ma 0.2008547 16.787947 0.9797388 0.19165289
#> 724 linear_ma seadec 0.2008547 16.297571 0.9808042 0.18226132
#> 725 linear_ma locf 0.2008547 21.035007 0.9682643 0.22133044
#> 726 linear_ma stl 0.2008547 16.297571 0.9808042 0.18226132
#> 727 linear_ma auto.arima 0.2008547 15.508502 0.9827332 0.16262961
#> 728 linear_ma StructTS 0.2008547 15.237103 0.9833222 0.16027971
#> 729 linear_ma linear_i 0.2008547 15.237103 0.9833222 0.16027971
#> 730 linear_ma spline_i 0.2008547 19.419869 0.9734610 0.19471567
#> 731 linear_ma stine_i 0.2008547 15.751871 0.9821787 0.16047894
#> 732 linear_ma simple_ma 0.2008547 16.564155 0.9802071 0.20732888
#> 733 linear_ma linear_ma 0.2008547 15.953448 0.9816465 0.18990512
#> 734 linear_ma exponential_ma 0.2008547 15.767739 0.9820736 0.17932832
#> 735 linear_ma seadec 0.2008547 15.237103 0.9833222 0.16027971
#> 736 linear_ma locf 0.2008547 24.698304 0.9562301 0.23748485
#> 737 linear_ma stl 0.2008547 15.237103 0.9833222 0.16027971
#> 738 linear_ma auto.arima 0.2008547 21.915731 0.9654096 0.22505028
#> 739 linear_ma StructTS 0.2008547 21.844694 0.9656147 0.22419067
#> 740 linear_ma linear_i 0.2008547 21.844694 0.9656147 0.22419067
#> 741 linear_ma spline_i 0.2008547 25.559290 0.9529441 0.26016208
#> 742 linear_ma stine_i 0.2008547 23.703742 0.9594993 0.23335560
#> 743 linear_ma simple_ma 0.2008547 27.031625 0.9475210 0.27951426
#> 744 linear_ma linear_ma 0.2008547 26.456682 0.9497082 0.26580012
#> 745 linear_ma exponential_ma 0.2008547 26.431449 0.9498209 0.26071016
#> 746 linear_ma seadec 0.2008547 21.844694 0.9656147 0.22419067
#> 747 linear_ma locf 0.2008547 29.872735 0.9390015 0.30021654
#> 748 linear_ma stl 0.2008547 21.844694 0.9656147 0.22419067
#> 749 linear_ma auto.arima 0.2008547 49.215193 0.8551195 0.64271409
#> 750 linear_ma StructTS 0.2008547 10.089676 0.9926373 0.13426795
#> 751 linear_ma linear_i 0.2008547 9.894448 0.9929206 0.13251887
#> 752 linear_ma spline_i 0.2008547 15.385678 0.9829538 0.19896407
#> 753 linear_ma stine_i 0.2008547 9.988064 0.9927904 0.13347567
#> 754 linear_ma simple_ma 0.2008547 13.059933 0.9876647 0.16990494
#> 755 linear_ma linear_ma 0.2008547 11.900656 0.9897556 0.15343099
#> 756 linear_ma exponential_ma 0.2008547 11.081611 0.9911168 0.14360778
#> 757 linear_ma seadec 0.2008547 10.089676 0.9926373 0.13426795
#> 758 linear_ma locf 0.2008547 14.051543 0.9858581 0.18234677
#> 759 linear_ma stl 0.2008547 9.894448 0.9929206 0.13251887
#> 760 linear_ma auto.arima 0.2008547 12.815067 0.9881820 0.14497533
#> 761 linear_ma StructTS 0.2008547 12.802466 0.9881908 0.14560227
#> 762 linear_ma linear_i 0.2008547 12.792784 0.9882092 0.14532828
#> 763 linear_ma spline_i 0.2008547 14.160061 0.9856073 0.15630915
#> 764 linear_ma stine_i 0.2008547 12.963184 0.9878998 0.14933673
#> 765 linear_ma simple_ma 0.2008547 15.610399 0.9824504 0.18096848
#> 766 linear_ma linear_ma 0.2008547 14.720366 0.9843836 0.16851650
#> 767 linear_ma exponential_ma 0.2008547 14.269068 0.9853118 0.16109776
#> 768 linear_ma seadec 0.2008547 12.802466 0.9881908 0.14560227
#> 769 linear_ma locf 0.2008547 15.735409 0.9821476 0.20423705
#> 770 linear_ma stl 0.2008547 12.792784 0.9882092 0.14532828
#> 771 exponential_ma auto.arima 0.2008547 25.277508 0.9569896 0.31680509
#> 772 exponential_ma StructTS 0.2008547 11.814929 0.9900099 0.14584415
#> 773 exponential_ma linear_i 0.2008547 11.814413 0.9900108 0.14583761
#> 774 exponential_ma spline_i 0.2008547 16.638114 0.9801380 0.18697080
#> 775 exponential_ma stine_i 0.2008547 11.764060 0.9901230 0.14788551
#> 776 exponential_ma simple_ma 0.2008547 15.208673 0.9833631 0.20294674
#> 777 exponential_ma linear_ma 0.2008547 13.825061 0.9862635 0.18259700
#> 778 exponential_ma exponential_ma 0.2008547 12.962022 0.9879269 0.16943329
#> 779 exponential_ma seadec 0.2008547 11.814929 0.9900099 0.14584415
#> 780 exponential_ma locf 0.2008547 21.404525 0.9672855 0.22448325
#> 781 exponential_ma stl 0.2008547 11.814413 0.9900108 0.14583761
#> 782 exponential_ma auto.arima 0.2008547 13.293462 0.9872984 0.15063995
#> 783 exponential_ma StructTS 0.2008547 13.246709 0.9873803 0.15082760
#> 784 exponential_ma linear_i 0.2008547 13.246709 0.9873803 0.15082760
#> 785 exponential_ma spline_i 0.2008547 14.240778 0.9854132 0.15507939
#> 786 exponential_ma stine_i 0.2008547 13.313315 0.9872580 0.15375107
#> 787 exponential_ma simple_ma 0.2008547 15.919035 0.9818002 0.18846279
#> 788 exponential_ma linear_ma 0.2008547 15.242472 0.9833081 0.17400013
#> 789 exponential_ma exponential_ma 0.2008547 14.800259 0.9842562 0.16438682
#> 790 exponential_ma seadec 0.2008547 13.246709 0.9873803 0.15082760
#> 791 exponential_ma locf 0.2008547 13.929871 0.9862023 0.19291039
#> 792 exponential_ma stl 0.2008547 13.246709 0.9873803 0.15082760
#> 793 exponential_ma auto.arima 0.2008547 16.207181 0.9812846 0.17176792
#> 794 exponential_ma StructTS 0.2008547 16.138480 0.9814214 0.17151621
#> 795 exponential_ma linear_i 0.2008547 16.138480 0.9814214 0.17151621
#> 796 exponential_ma spline_i 0.2008547 17.009259 0.9794482 0.18009669
#> 797 exponential_ma stine_i 0.2008547 16.044906 0.9816581 0.17123323
#> 798 exponential_ma simple_ma 0.2008547 17.725945 0.9776860 0.22031998
#> 799 exponential_ma linear_ma 0.2008547 16.773067 0.9800177 0.20284961
#> 800 exponential_ma exponential_ma 0.2008547 16.175640 0.9813974 0.19223923
#> 801 exponential_ma seadec 0.2008547 16.138480 0.9814214 0.17151621
#> 802 exponential_ma locf 0.2008547 18.291801 0.9761586 0.24565507
#> 803 exponential_ma stl 0.2008547 16.138480 0.9814214 0.17151621
#> 804 exponential_ma auto.arima 0.2008547 15.944192 0.9818900 0.17083986
#> 805 exponential_ma StructTS 0.2008547 15.914335 0.9819480 0.17123999
#> 806 exponential_ma linear_i 0.2008547 15.914335 0.9819480 0.17123999
#> 807 exponential_ma spline_i 0.2008547 16.334855 0.9808495 0.17511110
#> 808 exponential_ma stine_i 0.2008547 15.870995 0.9820526 0.17083066
#> 809 exponential_ma simple_ma 0.2008547 18.886499 0.9746259 0.22488490
#> 810 exponential_ma linear_ma 0.2008547 17.945555 0.9771132 0.20963166
#> 811 exponential_ma exponential_ma 0.2008547 17.291483 0.9787526 0.19992539
#> 812 exponential_ma seadec 0.2008547 15.914335 0.9819480 0.17123999
#> 813 exponential_ma locf 0.2008547 20.931175 0.9684386 0.22505646
#> 814 exponential_ma stl 0.2008547 15.914335 0.9819480 0.17123999
#> 815 exponential_ma auto.arima 0.2008547 12.656821 0.9885050 0.14662046
#> 816 exponential_ma StructTS 0.2008547 12.720322 0.9883950 0.14765068
#> 817 exponential_ma linear_i 0.2008547 12.720322 0.9883950 0.14765068
#> 818 exponential_ma spline_i 0.2008547 14.743128 0.9844255 0.16217543
#> 819 exponential_ma stine_i 0.2008547 13.018605 0.9878367 0.15204341
#> 820 exponential_ma simple_ma 0.2008547 15.121958 0.9835826 0.18747114
#> 821 exponential_ma linear_ma 0.2008547 14.061366 0.9858035 0.17136647
#> 822 exponential_ma exponential_ma 0.2008547 13.349032 0.9872087 0.15816510
#> 823 exponential_ma seadec 0.2008547 12.720322 0.9883950 0.14765068
#> 824 exponential_ma locf 0.2008547 17.411870 0.9794353 0.23623890
#> 825 exponential_ma stl 0.2008547 12.720322 0.9883950 0.14765068
#> 826 exponential_ma auto.arima 0.2008547 16.768453 0.9797766 0.18750780
#> 827 exponential_ma StructTS 0.2008547 15.780782 0.9820712 0.17832221
#> 828 exponential_ma linear_i 0.2008547 15.780782 0.9820712 0.17832221
#> 829 exponential_ma spline_i 0.2008547 16.966128 0.9793287 0.20162898
#> 830 exponential_ma stine_i 0.2008547 15.630159 0.9824046 0.17608301
#> 831 exponential_ma simple_ma 0.2008547 18.210014 0.9763151 0.22029505
#> 832 exponential_ma linear_ma 0.2008547 17.144506 0.9789886 0.20205587
#> 833 exponential_ma exponential_ma 0.2008547 16.443309 0.9806400 0.19156648
#> 834 exponential_ma seadec 0.2008547 15.780782 0.9820712 0.17832221
#> 835 exponential_ma locf 0.2008547 20.861412 0.9689314 0.22334841
#> 836 exponential_ma stl 0.2008547 15.780782 0.9820712 0.17832221
#> 837 exponential_ma auto.arima 0.2008547 16.322912 0.9810623 0.17032106
#> 838 exponential_ma StructTS 0.2008547 14.997045 0.9839203 0.15962212
#> 839 exponential_ma linear_i 0.2008547 14.997045 0.9839203 0.15962212
#> 840 exponential_ma spline_i 0.2008547 19.133380 0.9743456 0.19233510
#> 841 exponential_ma stine_i 0.2008547 15.496858 0.9828325 0.15924204
#> 842 exponential_ma simple_ma 0.2008547 16.492477 0.9804654 0.21041616
#> 843 exponential_ma linear_ma 0.2008547 15.826739 0.9820199 0.19194860
#> 844 exponential_ma exponential_ma 0.2008547 15.605031 0.9825234 0.18064477
#> 845 exponential_ma seadec 0.2008547 14.997045 0.9839203 0.15962212
#> 846 exponential_ma locf 0.2008547 24.626026 0.9566496 0.24032398
#> 847 exponential_ma stl 0.2008547 14.997045 0.9839203 0.15962212
#> 848 exponential_ma auto.arima 0.2008547 21.557301 0.9666540 0.22231865
#> 849 exponential_ma StructTS 0.2008547 21.492063 0.9668391 0.22149992
#> 850 exponential_ma linear_i 0.2008547 21.492063 0.9668391 0.22149992
#> 851 exponential_ma spline_i 0.2008547 25.007341 0.9551348 0.25245101
#> 852 exponential_ma stine_i 0.2008547 23.346489 0.9608603 0.22999517
#> 853 exponential_ma simple_ma 0.2008547 26.947679 0.9480451 0.28361053
#> 854 exponential_ma linear_ma 0.2008547 26.321468 0.9504112 0.26822717
#> 855 exponential_ma exponential_ma 0.2008547 26.257914 0.9506691 0.26216595
#> 856 exponential_ma seadec 0.2008547 21.492063 0.9668391 0.22149992
#> 857 exponential_ma locf 0.2008547 29.800157 0.9397020 0.30722617
#> 858 exponential_ma stl 0.2008547 21.492063 0.9668391 0.22149992
#> 859 exponential_ma auto.arima 0.2008547 48.587724 0.8591596 0.64515121
#> 860 exponential_ma StructTS 0.2008547 9.514619 0.9934778 0.13075835
#> 861 exponential_ma linear_i 0.2008547 9.362762 0.9936846 0.12950231
#> 862 exponential_ma spline_i 0.2008547 14.955560 0.9839867 0.19728851
#> 863 exponential_ma stine_i 0.2008547 9.385416 0.9936562 0.12902680
#> 864 exponential_ma simple_ma 0.2008547 12.938939 0.9879434 0.17208615
#> 865 exponential_ma linear_ma 0.2008547 11.689593 0.9901570 0.15473467
#> 866 exponential_ma exponential_ma 0.2008547 10.786277 0.9916188 0.14395321
#> 867 exponential_ma seadec 0.2008547 9.514619 0.9934778 0.13075835
#> 868 exponential_ma locf 0.2008547 14.147345 0.9857312 0.18814175
#> 869 exponential_ma stl 0.2008547 9.362762 0.9936846 0.12950231
#> 870 exponential_ma auto.arima 0.2008547 12.521906 0.9887620 0.14422185
#> 871 exponential_ma StructTS 0.2008547 12.501001 0.9887868 0.14453780
#> 872 exponential_ma linear_i 0.2008547 12.501001 0.9887868 0.14453780
#> 873 exponential_ma spline_i 0.2008547 13.678820 0.9866314 0.15147927
#> 874 exponential_ma stine_i 0.2008547 12.640675 0.9885445 0.14791278
#> 875 exponential_ma simple_ma 0.2008547 15.588929 0.9825616 0.18461961
#> 876 exponential_ma linear_ma 0.2008547 14.631129 0.9846300 0.17136717
#> 877 exponential_ma exponential_ma 0.2008547 14.128261 0.9856556 0.16326269
#> 878 exponential_ma seadec 0.2008547 12.501001 0.9887868 0.14453780
#> 879 exponential_ma locf 0.2008547 15.618326 0.9824845 0.20876361
#> 880 exponential_ma stl 0.2008547 12.501001 0.9887868 0.14453780
#> 881 seadec auto.arima 0.2008547 50.296711 0.8544443 0.64535078
#> 882 seadec StructTS 0.2008547 11.435344 0.9908578 0.12973042
#> 883 seadec linear_i 0.2008547 11.435344 0.9908578 0.12973042
#> 884 seadec spline_i 0.2008547 15.451474 0.9833378 0.15520231
#> 885 seadec stine_i 0.2008547 10.947005 0.9916203 0.12542728
#> 886 seadec simple_ma 0.2008547 15.635422 0.9829000 0.19795825
#> 887 seadec linear_ma 0.2008547 14.067491 0.9861621 0.17632819
#> 888 seadec exponential_ma 0.2008547 13.073000 0.9880470 0.16384879
#> 889 seadec seadec 0.2008547 11.435344 0.9908578 0.12973042
#> 890 seadec locf 0.2008547 23.350905 0.9627038 0.25189519
#> 891 seadec stl 0.2008547 11.435344 0.9908578 0.12973042
#> 892 seadec auto.arima 0.2008547 12.449841 0.9891626 0.13686219
#> 893 seadec StructTS 0.2008547 12.451495 0.9891531 0.13670984
#> 894 seadec linear_i 0.2008547 12.451495 0.9891531 0.13670984
#> 895 seadec spline_i 0.2008547 13.213497 0.9878527 0.12890762
#> 896 seadec stine_i 0.2008547 12.503761 0.9890617 0.14029099
#> 897 seadec simple_ma 0.2008547 16.068754 0.9819530 0.17808284
#> 898 seadec linear_ma 0.2008547 15.118651 0.9840201 0.16242236
#> 899 seadec exponential_ma 0.2008547 14.461533 0.9853753 0.15293350
#> 900 seadec seadec 0.2008547 12.451495 0.9891531 0.13670984
#> 901 seadec locf 0.2008547 14.801236 0.9849313 0.20352761
#> 902 seadec stl 0.2008547 12.451495 0.9891531 0.13670984
#> 903 seadec auto.arima 0.2008547 14.762915 0.9848976 0.14028829
#> 904 seadec StructTS 0.2008547 14.691281 0.9850221 0.13961433
#> 905 seadec linear_i 0.2008547 14.691281 0.9850221 0.13961433
#> 906 seadec spline_i 0.2008547 15.364559 0.9836961 0.14236182
#> 907 seadec stine_i 0.2008547 14.562212 0.9852983 0.13867152
#> 908 seadec simple_ma 0.2008547 17.394974 0.9790111 0.20585303
#> 909 seadec linear_ma 0.2008547 16.037220 0.9821736 0.18536992
#> 910 seadec exponential_ma 0.2008547 15.150773 0.9840847 0.17033268
#> 911 seadec seadec 0.2008547 14.691281 0.9850221 0.13961433
#> 912 seadec locf 0.2008547 18.028799 0.9775209 0.23377036
#> 913 seadec stl 0.2008547 14.691281 0.9850221 0.13961433
#> 914 seadec auto.arima 0.2008547 14.906733 0.9844906 0.14010707
#> 915 seadec StructTS 0.2008547 14.992812 0.9843484 0.14466227
#> 916 seadec linear_i 0.2008547 14.992812 0.9843484 0.14466227
#> 917 seadec spline_i 0.2008547 15.501957 0.9831720 0.15044891
#> 918 seadec stine_i 0.2008547 15.042444 0.9842363 0.14764073
#> 919 seadec simple_ma 0.2008547 18.408231 0.9765182 0.20221763
#> 920 seadec linear_ma 0.2008547 17.268191 0.9793490 0.18447911
#> 921 seadec exponential_ma 0.2008547 16.505550 0.9811240 0.17386201
#> 922 seadec seadec 0.2008547 14.992812 0.9843484 0.14466227
#> 923 seadec locf 0.2008547 21.044748 0.9690120 0.22414284
#> 924 seadec stl 0.2008547 14.992812 0.9843484 0.14466227
#> 925 seadec auto.arima 0.2008547 12.736494 0.9887379 0.13723121
#> 926 seadec StructTS 0.2008547 12.868937 0.9885206 0.13889302
#> 927 seadec linear_i 0.2008547 12.868937 0.9885206 0.13889302
#> 928 seadec spline_i 0.2008547 13.920082 0.9865421 0.13985987
#> 929 seadec stine_i 0.2008547 12.831486 0.9885846 0.13561309
#> 930 seadec simple_ma 0.2008547 15.416009 0.9834805 0.17719657
#> 931 seadec linear_ma 0.2008547 14.338181 0.9857170 0.16201363
#> 932 seadec exponential_ma 0.2008547 13.649025 0.9870706 0.15297874
#> 933 seadec seadec 0.2008547 12.868937 0.9885206 0.13889302
#> 934 seadec locf 0.2008547 20.246656 0.9735323 0.26298698
#> 935 seadec stl 0.2008547 12.868937 0.9885206 0.13889302
#> 936 seadec auto.arima 0.2008547 16.151771 0.9818700 0.16254205
#> 937 seadec StructTS 0.2008547 14.542671 0.9851851 0.15291893
#> 938 seadec linear_i 0.2008547 14.542671 0.9851851 0.15291893
#> 939 seadec spline_i 0.2008547 15.942264 0.9823747 0.17467214
#> 940 seadec stine_i 0.2008547 14.418631 0.9854399 0.15171757
#> 941 seadec simple_ma 0.2008547 17.769480 0.9780323 0.20354824
#> 942 seadec linear_ma 0.2008547 16.402909 0.9812658 0.18088504
#> 943 seadec exponential_ma 0.2008547 15.492698 0.9832584 0.16933329
#> 944 seadec seadec 0.2008547 14.542671 0.9851851 0.15291893
#> 945 seadec locf 0.2008547 21.096137 0.9692775 0.22726029
#> 946 seadec stl 0.2008547 14.542671 0.9851851 0.15291893
#> 947 seadec auto.arima 0.2008547 21.565943 0.9692232 0.24344654
#> 948 seadec StructTS 0.2008547 14.469191 0.9854512 0.14004799
#> 949 seadec linear_i 0.2008547 14.469191 0.9854512 0.14004799
#> 950 seadec spline_i 0.2008547 18.730819 0.9760657 0.16707612
#> 951 seadec stine_i 0.2008547 14.952505 0.9844595 0.13971488
#> 952 seadec simple_ma 0.2008547 16.172067 0.9817547 0.19557266
#> 953 seadec linear_ma 0.2008547 15.362458 0.9835498 0.17478828
#> 954 seadec exponential_ma 0.2008547 15.089436 0.9841330 0.16185260
#> 955 seadec seadec 0.2008547 14.469191 0.9854512 0.14004799
#> 956 seadec locf 0.2008547 25.097344 0.9561617 0.24527838
#> 957 seadec stl 0.2008547 14.469191 0.9854512 0.14004799
#> 958 seadec auto.arima 0.2008547 22.902582 0.9633821 0.20052826
#> 959 seadec StructTS 0.2008547 20.853076 0.9695999 0.19502344
#> 960 seadec linear_i 0.2008547 20.853076 0.9695999 0.19502344
#> 961 seadec spline_i 0.2008547 24.190036 0.9592306 0.20802135
#> 962 seadec stine_i 0.2008547 22.736391 0.9639053 0.20254971
#> 963 seadec simple_ma 0.2008547 27.039477 0.9491125 0.27150702
#> 964 seadec linear_ma 0.2008547 26.219478 0.9521343 0.25310073
#> 965 seadec exponential_ma 0.2008547 26.026767 0.9528634 0.24417963
#> 966 seadec seadec 0.2008547 20.853076 0.9695999 0.19502344
#> 967 seadec locf 0.2008547 30.054985 0.9410210 0.30225408
#> 968 seadec stl 0.2008547 20.853076 0.9695999 0.19502344
#> 969 seadec auto.arima 0.2008547 10.369312 0.9926090 0.11835900
#> 970 seadec StructTS 0.2008547 7.946036 0.9955924 0.10394251
#> 971 seadec linear_i 0.2008547 7.946036 0.9955924 0.10394251
#> 972 seadec spline_i 0.2008547 14.623553 0.9852909 0.18904453
#> 973 seadec stine_i 0.2008547 7.618711 0.9959452 0.09992260
#> 974 seadec simple_ma 0.2008547 12.696906 0.9887453 0.15736924
#> 975 seadec linear_ma 0.2008547 11.096916 0.9914015 0.13676917
#> 976 seadec exponential_ma 0.2008547 9.928738 0.9931191 0.12308590
#> 977 seadec seadec 0.2008547 7.946036 0.9955924 0.10394251
#> 978 seadec locf 0.2008547 15.567901 0.9832549 0.20314008
#> 979 seadec stl 0.2008547 7.946036 0.9955924 0.10394251
#> 980 seadec auto.arima 0.2008547 12.021549 0.9899221 0.13365093
#> 981 seadec StructTS 0.2008547 12.004341 0.9899397 0.13350475
#> 982 seadec linear_i 0.2008547 12.004341 0.9899397 0.13350475
#> 983 seadec spline_i 0.2008547 13.082529 0.9880895 0.13396754
#> 984 seadec stine_i 0.2008547 12.042803 0.9898746 0.13487599
#> 985 seadec simple_ma 0.2008547 15.858561 0.9824197 0.17716513
#> 986 seadec linear_ma 0.2008547 14.649043 0.9849988 0.16390838
#> 987 seadec exponential_ma 0.2008547 13.970968 0.9863495 0.15540257
#> 988 seadec seadec 0.2008547 12.004341 0.9899397 0.13350475
#> 989 seadec locf 0.2008547 15.846664 0.9824725 0.20633405
#> 990 seadec stl 0.2008547 12.004341 0.9899397 0.13350475
#> 991 locf auto.arima 0.2008547 51.053600 0.8452742 0.71418841
#> 992 locf StructTS 0.2008547 12.050568 0.9895928 0.15257487
#> 993 locf linear_i 0.2008547 12.050568 0.9895928 0.15257487
#> 994 locf spline_i 0.2008547 15.138693 0.9835457 0.16557490
#> 995 locf stine_i 0.2008547 11.729459 0.9901305 0.14902048
#> 996 locf simple_ma 0.2008547 16.013730 0.9815902 0.21670442
#> 997 locf linear_ma 0.2008547 14.443621 0.9850368 0.19257823
#> 998 locf exponential_ma 0.2008547 13.476852 0.9869700 0.17993435
#> 999 locf seadec 0.2008547 12.050568 0.9895928 0.15257487
#> 1000 locf locf 0.2008547 25.041376 0.9559549 0.30142840
#> 1001 locf stl 0.2008547 12.050568 0.9895928 0.15257487
#> 1002 locf auto.arima 0.2008547 13.159921 0.9876124 0.15253033
#> 1003 locf StructTS 0.2008547 13.035029 0.9878325 0.15168235
#> 1004 locf linear_i 0.2008547 13.035029 0.9878325 0.15168235
#> 1005 locf spline_i 0.2008547 14.088905 0.9857468 0.15442141
#> 1006 locf stine_i 0.2008547 13.086901 0.9877355 0.15129340
#> 1007 locf simple_ma 0.2008547 16.226703 0.9811455 0.19491493
#> 1008 locf linear_ma 0.2008547 15.357928 0.9831119 0.17798407
#> 1009 locf exponential_ma 0.2008547 14.798177 0.9843159 0.16772881
#> 1010 locf seadec 0.2008547 13.035029 0.9878325 0.15168235
#> 1011 locf locf 0.2008547 18.959358 0.9744403 0.25885992
#> 1012 locf stl 0.2008547 13.035029 0.9878325 0.15168235
#> 1013 locf auto.arima 0.2008547 15.290600 0.9833314 0.15878746
#> 1014 locf StructTS 0.2008547 15.215724 0.9834647 0.15759716
#> 1015 locf linear_i 0.2008547 15.215724 0.9834647 0.15759716
#> 1016 locf spline_i 0.2008547 17.121897 0.9790603 0.19758311
#> 1017 locf stine_i 0.2008547 15.355867 0.9831693 0.16221928
#> 1018 locf simple_ma 0.2008547 17.437885 0.9784907 0.22221835
#> 1019 locf linear_ma 0.2008547 16.123792 0.9816101 0.19712137
#> 1020 locf exponential_ma 0.2008547 15.301072 0.9834056 0.18009868
#> 1021 locf seadec 0.2008547 15.215724 0.9834647 0.15759716
#> 1022 locf locf 0.2008547 22.148055 0.9650902 0.30687426
#> 1023 locf stl 0.2008547 15.215724 0.9834647 0.15759716
#> 1024 locf auto.arima 0.2008547 15.809821 0.9821493 0.17247478
#> 1025 locf StructTS 0.2008547 15.773766 0.9822195 0.17276994
#> 1026 locf linear_i 0.2008547 15.773766 0.9822195 0.17276994
#> 1027 locf spline_i 0.2008547 16.367557 0.9807199 0.18916481
#> 1028 locf stine_i 0.2008547 15.766465 0.9822290 0.17345886
#> 1029 locf simple_ma 0.2008547 19.212135 0.9738463 0.23426127
#> 1030 locf linear_ma 0.2008547 18.041738 0.9769455 0.21478881
#> 1031 locf exponential_ma 0.2008547 17.228412 0.9789596 0.20081584
#> 1032 locf seadec 0.2008547 15.773766 0.9822195 0.17276994
#> 1033 locf locf 0.2008547 23.497227 0.9603129 0.27864655
#> 1034 locf stl 0.2008547 15.773766 0.9822195 0.17276994
#> 1035 locf auto.arima 0.2008547 50.304304 0.8436834 0.68783667
#> 1036 locf StructTS 0.2008547 13.712013 0.9866679 0.16231691
#> 1037 locf linear_i 0.2008547 13.712013 0.9866679 0.16231691
#> 1038 locf spline_i 0.2008547 15.611558 0.9828653 0.17307393
#> 1039 locf stine_i 0.2008547 13.987876 0.9861272 0.16262522
#> 1040 locf simple_ma 0.2008547 15.807408 0.9821172 0.20083881
#> 1041 locf linear_ma 0.2008547 14.793537 0.9843559 0.18447150
#> 1042 locf exponential_ma 0.2008547 14.239666 0.9855342 0.17520371
#> 1043 locf seadec 0.2008547 13.712013 0.9866679 0.16231691
#> 1044 locf locf 0.2008547 24.584192 0.9603025 0.33464815
#> 1045 locf stl 0.2008547 13.712013 0.9866679 0.16231691
#> 1046 locf auto.arima 0.2008547 16.338563 0.9808546 0.18488516
#> 1047 locf StructTS 0.2008547 15.087523 0.9836163 0.16926038
#> 1048 locf linear_i 0.2008547 15.087523 0.9836163 0.16926038
#> 1049 locf spline_i 0.2008547 15.445483 0.9830295 0.17144602
#> 1050 locf stine_i 0.2008547 14.995906 0.9838131 0.16830570
#> 1051 locf simple_ma 0.2008547 17.920400 0.9770905 0.22034861
#> 1052 locf linear_ma 0.2008547 16.584671 0.9803671 0.19642271
#> 1053 locf exponential_ma 0.2008547 15.701721 0.9823696 0.18312119
#> 1054 locf seadec 0.2008547 15.087523 0.9836163 0.16926038
#> 1055 locf locf 0.2008547 24.203288 0.9583245 0.29026439
#> 1056 locf stl 0.2008547 15.087523 0.9836163 0.16926038
#> 1057 locf auto.arima 0.2008547 16.434090 0.9806335 0.17624453
#> 1058 locf StructTS 0.2008547 14.813108 0.9842834 0.15304382
#> 1059 locf linear_i 0.2008547 14.813108 0.9842834 0.15304382
#> 1060 locf spline_i 0.2008547 19.398270 0.9732372 0.20134045
#> 1061 locf stine_i 0.2008547 15.417556 0.9829545 0.15485906
#> 1062 locf simple_ma 0.2008547 16.712649 0.9800031 0.22011716
#> 1063 locf linear_ma 0.2008547 15.842063 0.9820503 0.19676898
#> 1064 locf exponential_ma 0.2008547 15.481131 0.9828566 0.18125049
#> 1065 locf seadec 0.2008547 14.813108 0.9842834 0.15304382
#> 1066 locf locf 0.2008547 26.782999 0.9485011 0.30042999
#> 1067 locf stl 0.2008547 14.813108 0.9842834 0.15304382
#> 1068 locf auto.arima 0.2008547 23.704346 0.9598458 0.24798509
#> 1069 locf StructTS 0.2008547 21.450776 0.9671176 0.23004224
#> 1070 locf linear_i 0.2008547 21.450776 0.9671176 0.23004224
#> 1071 locf spline_i 0.2008547 25.243549 0.9544327 0.26302279
#> 1072 locf stine_i 0.2008547 23.344083 0.9610142 0.23780566
#> 1073 locf simple_ma 0.2008547 27.266430 0.9469197 0.29204337
#> 1074 locf linear_ma 0.2008547 26.481923 0.9499113 0.27525029
#> 1075 locf exponential_ma 0.2008547 26.316622 0.9505468 0.26934130
#> 1076 locf seadec 0.2008547 21.450776 0.9671176 0.23004224
#> 1077 locf locf 0.2008547 32.321932 0.9290482 0.38257173
#> 1078 locf stl 0.2008547 21.450776 0.9671176 0.23004224
#> 1079 locf auto.arima 0.2008547 10.594149 0.9920454 0.13747383
#> 1080 locf StructTS 0.2008547 8.250248 0.9951042 0.12155278
#> 1081 locf linear_i 0.2008547 8.244523 0.9951113 0.12177550
#> 1082 locf spline_i 0.2008547 13.330980 0.9873968 0.18436062
#> 1083 locf stine_i 0.2008547 8.377669 0.9949508 0.12171497
#> 1084 locf simple_ma 0.2008547 12.696254 0.9884040 0.17663196
#> 1085 locf linear_ma 0.2008547 11.011623 0.9912762 0.15256244
#> 1086 locf exponential_ma 0.2008547 9.798268 0.9930934 0.13502214
#> 1087 locf seadec 0.2008547 8.250248 0.9951042 0.12155278
#> 1088 locf locf 0.2008547 18.461151 0.9759712 0.25205260
#> 1089 locf stl 0.2008547 8.244523 0.9951113 0.12177550
#> 1090 locf auto.arima 0.2008547 12.754762 0.9884548 0.15502628
#> 1091 locf StructTS 0.2008547 12.691618 0.9885411 0.15423888
#> 1092 locf linear_i 0.2008547 12.691618 0.9885411 0.15423888
#> 1093 locf spline_i 0.2008547 13.874038 0.9864113 0.16249108
#> 1094 locf stine_i 0.2008547 12.792639 0.9883605 0.15827297
#> 1095 locf simple_ma 0.2008547 16.607165 0.9802312 0.20889717
#> 1096 locf linear_ma 0.2008547 15.374299 0.9830716 0.19134439
#> 1097 locf exponential_ma 0.2008547 14.674141 0.9845798 0.18132125
#> 1098 locf seadec 0.2008547 12.691618 0.9885411 0.15423888
#> 1099 locf locf 0.2008547 18.866886 0.9745508 0.26239973
#> 1100 locf stl 0.2008547 12.691618 0.9885411 0.15423888
#> 1101 stl auto.arima 0.2008547 50.924649 0.8508696 0.63787694
#> 1102 stl StructTS 0.2008547 11.642532 0.9905332 0.13379069
#> 1103 stl linear_i 0.2008547 11.642532 0.9905332 0.13379069
#> 1104 stl spline_i 0.2008547 16.154096 0.9817959 0.16893187
#> 1105 stl stine_i 0.2008547 11.292736 0.9911022 0.13254958
#> 1106 stl simple_ma 0.2008547 15.818590 0.9824855 0.19836545
#> 1107 stl linear_ma 0.2008547 14.201452 0.9858895 0.17671213
#> 1108 stl exponential_ma 0.2008547 13.175389 0.9878539 0.16385135
#> 1109 stl seadec 0.2008547 11.642532 0.9905332 0.13379069
#> 1110 stl locf 0.2008547 22.942341 0.9637347 0.25034638
#> 1111 stl stl 0.2008547 11.642532 0.9905332 0.13379069
#> 1112 stl auto.arima 0.2008547 12.181318 0.9896269 0.13272191
#> 1113 stl StructTS 0.2008547 12.096111 0.9897614 0.13275552
#> 1114 stl linear_i 0.2008547 12.096111 0.9897614 0.13275552
#> 1115 stl spline_i 0.2008547 13.264023 0.9877742 0.12979110
#> 1116 stl stine_i 0.2008547 12.239771 0.9895157 0.13675076
#> 1117 stl simple_ma 0.2008547 15.758766 0.9826397 0.17348410
#> 1118 stl linear_ma 0.2008547 14.736273 0.9848145 0.15758620
#> 1119 stl exponential_ma 0.2008547 14.048819 0.9861934 0.14804875
#> 1120 stl seadec 0.2008547 12.096111 0.9897614 0.13275552
#> 1121 stl locf 0.2008547 15.027071 0.9845038 0.20455351
#> 1122 stl stl 0.2008547 12.096111 0.9897614 0.13275552
#> 1123 stl auto.arima 0.2008547 14.608581 0.9851706 0.13989873
#> 1124 stl StructTS 0.2008547 14.536982 0.9852954 0.13924369
#> 1125 stl linear_i 0.2008547 14.536982 0.9852954 0.13924369
#> 1126 stl spline_i 0.2008547 15.401543 0.9835464 0.13907682
#> 1127 stl stine_i 0.2008547 14.467498 0.9854395 0.13897321
#> 1128 stl simple_ma 0.2008547 17.114647 0.9796795 0.20198340
#> 1129 stl linear_ma 0.2008547 15.753269 0.9827875 0.18212560
#> 1130 stl exponential_ma 0.2008547 14.880336 0.9846284 0.16769135
#> 1131 stl seadec 0.2008547 14.536982 0.9852954 0.13924369
#> 1132 stl locf 0.2008547 17.988763 0.9776314 0.23247129
#> 1133 stl stl 0.2008547 14.536982 0.9852954 0.13924369
#> 1134 stl auto.arima 0.2008547 15.244858 0.9838613 0.14880584
#> 1135 stl StructTS 0.2008547 15.206583 0.9839313 0.14865076
#> 1136 stl linear_i 0.2008547 15.206583 0.9839313 0.14865076
#> 1137 stl spline_i 0.2008547 15.517670 0.9831511 0.14625470
#> 1138 stl stine_i 0.2008547 15.273648 0.9837765 0.15230414
#> 1139 stl simple_ma 0.2008547 18.703200 0.9757404 0.20339209
#> 1140 stl linear_ma 0.2008547 17.574103 0.9786052 0.18736897
#> 1141 stl exponential_ma 0.2008547 16.821780 0.9803982 0.17757003
#> 1142 stl seadec 0.2008547 15.206583 0.9839313 0.14865076
#> 1143 stl locf 0.2008547 20.956913 0.9692407 0.22380241
#> 1144 stl stl 0.2008547 15.206583 0.9839313 0.14865076
#> 1145 stl auto.arima 0.2008547 12.886952 0.9884553 0.13624168
#> 1146 stl StructTS 0.2008547 12.816024 0.9885870 0.13945916
#> 1147 stl linear_i 0.2008547 12.816024 0.9885870 0.13945916
#> 1148 stl spline_i 0.2008547 13.972483 0.9864404 0.13897342
#> 1149 stl stine_i 0.2008547 12.860561 0.9885075 0.13826920
#> 1150 stl simple_ma 0.2008547 15.330653 0.9836392 0.17538303
#> 1151 stl linear_ma 0.2008547 14.222553 0.9859190 0.16097210
#> 1152 stl exponential_ma 0.2008547 13.513911 0.9872943 0.15188858
#> 1153 stl seadec 0.2008547 12.816024 0.9885870 0.13945916
#> 1154 stl locf 0.2008547 19.784168 0.9745118 0.26053924
#> 1155 stl stl 0.2008547 12.816024 0.9885870 0.13945916
#> 1156 stl auto.arima 0.2008547 16.310331 0.9814519 0.16193551
#> 1157 stl StructTS 0.2008547 14.727551 0.9848038 0.15311304
#> 1158 stl linear_i 0.2008547 14.727551 0.9848038 0.15311304
#> 1159 stl spline_i 0.2008547 16.134660 0.9818504 0.17698262
#> 1160 stl stine_i 0.2008547 14.648712 0.9849627 0.15227385
#> 1161 stl simple_ma 0.2008547 17.875690 0.9777755 0.20094854
#> 1162 stl linear_ma 0.2008547 16.560549 0.9809137 0.17954791
#> 1163 stl exponential_ma 0.2008547 15.685501 0.9828500 0.16981789
#> 1164 stl seadec 0.2008547 14.727551 0.9848038 0.15311304
#> 1165 stl locf 0.2008547 21.100048 0.9692165 0.22642217
#> 1166 stl stl 0.2008547 14.727551 0.9848038 0.15311304
#> 1167 stl auto.arima 0.2008547 17.308189 0.9793607 0.15771433
#> 1168 stl StructTS 0.2008547 14.586120 0.9852032 0.14266076
#> 1169 stl linear_i 0.2008547 14.586120 0.9852032 0.14266076
#> 1170 stl spline_i 0.2008547 18.951560 0.9754328 0.16917985
#> 1171 stl stine_i 0.2008547 15.052545 0.9842372 0.14190984
#> 1172 stl simple_ma 0.2008547 15.947620 0.9822573 0.19324833
#> 1173 stl linear_ma 0.2008547 15.204188 0.9838878 0.17418396
#> 1174 stl exponential_ma 0.2008547 15.018036 0.9842817 0.16208399
#> 1175 stl seadec 0.2008547 14.586120 0.9852032 0.14266076
#> 1176 stl locf 0.2008547 25.617467 0.9543104 0.25728951
#> 1177 stl stl 0.2008547 14.586120 0.9852032 0.14266076
#> 1178 stl auto.arima 0.2008547 22.561793 0.9644400 0.19364989
#> 1179 stl StructTS 0.2008547 20.604356 0.9703113 0.18919357
#> 1180 stl linear_i 0.2008547 20.604356 0.9703113 0.18919357
#> 1181 stl spline_i 0.2008547 23.901040 0.9601593 0.19997424
#> 1182 stl stine_i 0.2008547 22.540652 0.9644980 0.19700230
#> 1183 stl simple_ma 0.2008547 26.900891 0.9496051 0.26517731
#> 1184 stl linear_ma 0.2008547 26.036695 0.9527738 0.24660502
#> 1185 stl exponential_ma 0.2008547 25.827792 0.9535575 0.23721302
#> 1186 stl seadec 0.2008547 20.604356 0.9703113 0.18919357
#> 1187 stl locf 0.2008547 30.277688 0.9405254 0.30214429
#> 1188 stl stl 0.2008547 20.604356 0.9703113 0.18919357
#> 1189 stl auto.arima 0.2008547 11.102791 0.9915324 0.12525779
#> 1190 stl StructTS 0.2008547 8.861767 0.9945162 0.11075117
#> 1191 stl linear_i 0.2008547 8.861767 0.9945162 0.11075117
#> 1192 stl spline_i 0.2008547 15.866277 0.9827249 0.20115157
#> 1193 stl stine_i 0.2008547 8.653696 0.9947689 0.10953489
#> 1194 stl simple_ma 0.2008547 13.012137 0.9881704 0.15589786
#> 1195 stl linear_ma 0.2008547 11.538904 0.9906946 0.13735372
#> 1196 stl exponential_ma 0.2008547 10.495082 0.9923035 0.12538546
#> 1197 stl seadec 0.2008547 8.861767 0.9945162 0.11075117
#> 1198 stl locf 0.2008547 15.375073 0.9836368 0.19785770
#> 1199 stl stl 0.2008547 8.861767 0.9945162 0.11075117
#> 1200 stl auto.arima 0.2008547 12.069895 0.9898374 0.13632286
#> 1201 stl StructTS 0.2008547 12.051003 0.9898574 0.13608583
#> 1202 stl linear_i 0.2008547 12.051003 0.9898574 0.13608583
#> 1203 stl spline_i 0.2008547 12.871969 0.9884783 0.12903019
#> 1204 stl stine_i 0.2008547 12.105541 0.9897620 0.13834243
#> 1205 stl simple_ma 0.2008547 15.745543 0.9826722 0.17421420
#> 1206 stl linear_ma 0.2008547 14.596918 0.9851058 0.16241547
#> 1207 stl exponential_ma 0.2008547 13.979741 0.9863301 0.15593356
#> 1208 stl seadec 0.2008547 12.051003 0.9898574 0.13608583
#> 1209 stl locf 0.2008547 16.012617 0.9821019 0.20906940
#> 1210 stl stl 0.2008547 12.051003 0.9898574 0.13608583
#> smape
#> 1 0.089779389
#> 2 0.013321437
#> 3 0.013321437
#> 4 0.015130123
#> 5 0.012725242
#> 6 0.019465922
#> 7 0.017442398
#> 8 0.016075186
#> 9 0.013321437
#> 10 0.021229797
#> 11 0.013321437
#> 12 0.012368662
#> 13 0.012232077
#> 14 0.012232077
#> 15 0.011636274
#> 16 0.012107047
#> 17 0.016184652
#> 18 0.014824987
#> 19 0.013974409
#> 20 0.012232077
#> 21 0.017495054
#> 22 0.012232077
#> 23 0.012750121
#> 24 0.012717835
#> 25 0.012717835
#> 26 0.012661587
#> 27 0.012589049
#> 28 0.018251141
#> 29 0.016510465
#> 30 0.015236700
#> 31 0.012717835
#> 32 0.020002722
#> 33 0.012717835
#> 34 0.014538523
#> 35 0.014559751
#> 36 0.014559751
#> 37 0.014983945
#> 38 0.014531299
#> 39 0.019542970
#> 40 0.018062151
#> 41 0.017148730
#> 42 0.014559751
#> 43 0.020557901
#> 44 0.014559751
#> 45 0.011950707
#> 46 0.011977459
#> 47 0.011977459
#> 48 0.011375637
#> 49 0.011366589
#> 50 0.016768888
#> 51 0.015203638
#> 52 0.014087386
#> 53 0.011977459
#> 54 0.020994319
#> 55 0.011977459
#> 56 0.018722840
#> 57 0.014365329
#> 58 0.014365329
#> 59 0.016265836
#> 60 0.014089700
#> 61 0.019706125
#> 62 0.017770156
#> 63 0.016478797
#> 64 0.014365329
#> 65 0.020078384
#> 66 0.014365329
#> 67 0.018215940
#> 68 0.014753731
#> 69 0.014753731
#> 70 0.020479263
#> 71 0.014233523
#> 72 0.021077819
#> 73 0.019368055
#> 74 0.018058198
#> 75 0.014753731
#> 76 0.022770588
#> 77 0.014753731
#> 78 0.019293731
#> 79 0.018534970
#> 80 0.018302600
#> 81 0.019843127
#> 82 0.018842744
#> 83 0.024135009
#> 84 0.022717329
#> 85 0.022225489
#> 86 0.018534970
#> 87 0.024243322
#> 88 0.018302600
#> 89 0.016339270
#> 90 0.011058670
#> 91 0.011058670
#> 92 0.017024295
#> 93 0.010529988
#> 94 0.015451960
#> 95 0.013794852
#> 96 0.012714279
#> 97 0.011058670
#> 98 0.018840894
#> 99 0.011058670
#> 100 0.012554830
#> 101 0.012565055
#> 102 0.012565055
#> 103 0.011853696
#> 104 0.012385677
#> 105 0.017107065
#> 106 0.015902068
#> 107 0.015025836
#> 108 0.012565055
#> 109 0.018173026
#> 110 0.012565055
#> 111 0.091836997
#> 112 0.013458736
#> 113 0.013458736
#> 114 0.015325520
#> 115 0.012945048
#> 116 0.020037976
#> 117 0.017914046
#> 118 0.016476980
#> 119 0.013458736
#> 120 0.023362777
#> 121 0.013458736
#> 122 0.013704327
#> 123 0.013425015
#> 124 0.013425015
#> 125 0.013217852
#> 126 0.013739170
#> 127 0.016694881
#> 128 0.015363848
#> 129 0.014659640
#> 130 0.013425015
#> 131 0.020711934
#> 132 0.013425015
#> 133 0.012295660
#> 134 0.012245959
#> 135 0.012245959
#> 136 0.012870457
#> 137 0.012032789
#> 138 0.018505791
#> 139 0.016509588
#> 140 0.015004536
#> 141 0.012245959
#> 142 0.020378108
#> 143 0.012245959
#> 144 0.014127174
#> 145 0.014145359
#> 146 0.014145359
#> 147 0.015428607
#> 148 0.014420182
#> 149 0.019018894
#> 150 0.017362899
#> 151 0.016416267
#> 152 0.014145359
#> 153 0.021272416
#> 154 0.014145359
#> 155 0.012557935
#> 156 0.012829848
#> 157 0.012829848
#> 158 0.013114688
#> 159 0.012418748
#> 160 0.016717995
#> 161 0.015302851
#> 162 0.014290025
#> 163 0.012829848
#> 164 0.022614852
#> 165 0.012829848
#> 166 0.018679235
#> 167 0.014862341
#> 168 0.014862341
#> 169 0.016990379
#> 170 0.014882066
#> 171 0.019474083
#> 172 0.017334207
#> 173 0.016183080
#> 174 0.014862341
#> 175 0.021749006
#> 176 0.014862341
#> 177 0.017616749
#> 178 0.014732788
#> 179 0.014732788
#> 180 0.020667572
#> 181 0.014513918
#> 182 0.020751772
#> 183 0.018875427
#> 184 0.017519877
#> 185 0.014732788
#> 186 0.024044460
#> 187 0.014732788
#> 188 0.018699629
#> 189 0.018327008
#> 190 0.018327008
#> 191 0.019541578
#> 192 0.019080310
#> 193 0.024656910
#> 194 0.023178584
#> 195 0.022562290
#> 196 0.018327008
#> 197 0.025173538
#> 198 0.018327008
#> 199 0.015570358
#> 200 0.010286692
#> 201 0.010286692
#> 202 0.017749125
#> 203 0.009898872
#> 204 0.015325268
#> 205 0.013386373
#> 206 0.012165138
#> 207 0.010286692
#> 208 0.019744194
#> 209 0.010286692
#> 210 0.012774199
#> 211 0.012783923
#> 212 0.012783923
#> 213 0.012135465
#> 214 0.012701285
#> 215 0.017074780
#> 216 0.015816022
#> 217 0.014890229
#> 218 0.012783923
#> 219 0.018551019
#> 220 0.012783923
#> 221 0.089638399
#> 222 0.013336771
#> 223 0.013336771
#> 224 0.015146862
#> 225 0.012718336
#> 226 0.019507996
#> 227 0.017489605
#> 228 0.016135158
#> 229 0.013336771
#> 230 0.021224203
#> 231 0.013336771
#> 232 0.012333933
#> 233 0.012209030
#> 234 0.012209030
#> 235 0.011604970
#> 236 0.012075497
#> 237 0.016193906
#> 238 0.014836086
#> 239 0.013984727
#> 240 0.012209030
#> 241 0.017409552
#> 242 0.012209030
#> 243 0.012739389
#> 244 0.012711497
#> 245 0.012711497
#> 246 0.012654650
#> 247 0.012576547
#> 248 0.018249608
#> 249 0.016496319
#> 250 0.015231626
#> 251 0.012711497
#> 252 0.019974181
#> 253 0.012711497
#> 254 0.014534608
#> 255 0.014560258
#> 256 0.014560258
#> 257 0.014982665
#> 258 0.014527817
#> 259 0.019559331
#> 260 0.018084014
#> 261 0.017169519
#> 262 0.014560258
#> 263 0.020581050
#> 264 0.014560258
#> 265 0.011906043
#> 266 0.011952746
#> 267 0.011952746
#> 268 0.011351357
#> 269 0.011325339
#> 270 0.016802050
#> 271 0.015232139
#> 272 0.014120075
#> 273 0.011952746
#> 274 0.020964260
#> 275 0.011952746
#> 276 0.018768029
#> 277 0.014348773
#> 278 0.014348773
#> 279 0.016301107
#> 280 0.014061443
#> 281 0.019748765
#> 282 0.017799401
#> 283 0.016502139
#> 284 0.014348773
#> 285 0.020040649
#> 286 0.014348773
#> 287 0.018248925
#> 288 0.014752766
#> 289 0.014752766
#> 290 0.020474731
#> 291 0.014217167
#> 292 0.021091326
#> 293 0.019372771
#> 294 0.018061966
#> 295 0.014752766
#> 296 0.022718500
#> 297 0.014752766
#> 298 0.019278658
#> 299 0.018533670
#> 300 0.018281696
#> 301 0.019833283
#> 302 0.018806251
#> 303 0.024133977
#> 304 0.022713911
#> 305 0.022223835
#> 306 0.018533670
#> 307 0.024162677
#> 308 0.018281696
#> 309 0.016321025
#> 310 0.011043690
#> 311 0.011043690
#> 312 0.017031991
#> 313 0.010514194
#> 314 0.015455972
#> 315 0.013795832
#> 316 0.012712056
#> 317 0.011043690
#> 318 0.018835846
#> 319 0.011043690
#> 320 0.012530636
#> 321 0.012548111
#> 322 0.012548111
#> 323 0.011814279
#> 324 0.012378288
#> 325 0.017106913
#> 326 0.015898983
#> 327 0.015021940
#> 328 0.012548111
#> 329 0.018139213
#> 330 0.012548111
#> 331 0.032333465
#> 332 0.013273846
#> 333 0.013273846
#> 334 0.014553833
#> 335 0.012658503
#> 336 0.019740204
#> 337 0.017584540
#> 338 0.016157826
#> 339 0.013273846
#> 340 0.022877747
#> 341 0.013273846
#> 342 0.011895652
#> 343 0.012072787
#> 344 0.012072787
#> 345 0.010565369
#> 346 0.012030196
#> 347 0.016338253
#> 348 0.014851587
#> 349 0.013938535
#> 350 0.012072787
#> 351 0.018772312
#> 352 0.012072787
#> 353 0.013087839
#> 354 0.012090497
#> 355 0.012090497
#> 356 0.011845025
#> 357 0.012048749
#> 358 0.018256147
#> 359 0.016356405
#> 360 0.014875822
#> 361 0.012090497
#> 362 0.020361453
#> 363 0.012090497
#> 364 0.014320660
#> 365 0.014365863
#> 366 0.014365863
#> 367 0.014568708
#> 368 0.014321345
#> 369 0.019432614
#> 370 0.017912343
#> 371 0.016961472
#> 372 0.014365863
#> 373 0.021250793
#> 374 0.014365863
#> 375 0.011872990
#> 376 0.011953450
#> 377 0.011953450
#> 378 0.010432391
#> 379 0.011352113
#> 380 0.016755532
#> 381 0.015171877
#> 382 0.014035854
#> 383 0.011953450
#> 384 0.022529390
#> 385 0.011953450
#> 386 0.018075981
#> 387 0.013728795
#> 388 0.013728795
#> 389 0.015449222
#> 390 0.013342964
#> 391 0.019751071
#> 392 0.017508085
#> 393 0.015981560
#> 394 0.013728795
#> 395 0.020391945
#> 396 0.013728795
#> 397 0.019080816
#> 398 0.014452257
#> 399 0.014452257
#> 400 0.019983212
#> 401 0.013968218
#> 402 0.021156018
#> 403 0.019272932
#> 404 0.017857009
#> 405 0.014452257
#> 406 0.023964015
#> 407 0.014452257
#> 408 0.017993077
#> 409 0.017851078
#> 410 0.017721093
#> 411 0.018338946
#> 412 0.018228677
#> 413 0.024169106
#> 414 0.022600942
#> 415 0.021972597
#> 416 0.017851078
#> 417 0.024318426
#> 418 0.017721093
#> 419 0.015866362
#> 420 0.010627290
#> 421 0.010627290
#> 422 0.017252822
#> 423 0.010171310
#> 424 0.015293383
#> 425 0.013582411
#> 426 0.012340244
#> 427 0.010627290
#> 428 0.019733900
#> 429 0.010627290
#> 430 0.012376223
#> 431 0.012399792
#> 432 0.012399792
#> 433 0.010967502
#> 434 0.012215942
#> 435 0.017364255
#> 436 0.015993513
#> 437 0.015033282
#> 438 0.012399792
#> 439 0.018654425
#> 440 0.012399792
#> 441 0.089474891
#> 442 0.013271688
#> 443 0.013271688
#> 444 0.014957960
#> 445 0.012638311
#> 446 0.019483770
#> 447 0.017437181
#> 448 0.016129085
#> 449 0.013271688
#> 450 0.021424433
#> 451 0.013271688
#> 452 0.012216514
#> 453 0.012113703
#> 454 0.012113703
#> 455 0.011473235
#> 456 0.011961734
#> 457 0.016186464
#> 458 0.014813688
#> 459 0.013949352
#> 460 0.012113703
#> 461 0.017473145
#> 462 0.012113703
#> 463 0.012602874
#> 464 0.012573262
#> 465 0.012573262
#> 466 0.012511171
#> 467 0.012431693
#> 468 0.018211134
#> 469 0.016457015
#> 470 0.015172617
#> 471 0.012573262
#> 472 0.019997697
#> 473 0.012573262
#> 474 0.014422747
#> 475 0.014446899
#> 476 0.014446899
#> 477 0.014882890
#> 478 0.014395711
#> 479 0.019555436
#> 480 0.018066840
#> 481 0.017137562
#> 482 0.014446899
#> 483 0.020654486
#> 484 0.014446899
#> 485 0.011857315
#> 486 0.011895503
#> 487 0.011895503
#> 488 0.011222756
#> 489 0.011264243
#> 490 0.016815940
#> 491 0.015236887
#> 492 0.014141079
#> 493 0.011895503
#> 494 0.021081553
#> 495 0.011895503
#> 496 0.018557817
#> 497 0.014143504
#> 498 0.014143504
#> 499 0.016064924
#> 500 0.013841549
#> 501 0.019747826
#> 502 0.017734149
#> 503 0.016405380
#> 504 0.014143504
#> 505 0.019971565
#> 506 0.014143504
#> 507 0.018231103
#> 508 0.014577616
#> 509 0.014577616
#> 510 0.020219557
#> 511 0.013980340
#> 512 0.021062222
#> 513 0.019310651
#> 514 0.017978703
#> 515 0.014577616
#> 516 0.022803124
#> 517 0.014577616
#> 518 0.018537895
#> 519 0.018383575
#> 520 0.018154525
#> 521 0.019518087
#> 522 0.018671384
#> 523 0.024128392
#> 524 0.022706887
#> 525 0.022189538
#> 526 0.018383575
#> 527 0.024113979
#> 528 0.018154525
#> 529 0.016206552
#> 530 0.010926258
#> 531 0.010926258
#> 532 0.016962380
#> 533 0.010405194
#> 534 0.015439499
#> 535 0.013777840
#> 536 0.012663736
#> 537 0.010926258
#> 538 0.018955913
#> 539 0.010926258
#> 540 0.012446311
#> 541 0.012460644
#> 542 0.012460644
#> 543 0.011731525
#> 544 0.012272081
#> 545 0.017151459
#> 546 0.015920507
#> 547 0.015019547
#> 548 0.012460644
#> 549 0.018123058
#> 550 0.012460644
#> 551 0.038158832
#> 552 0.015382530
#> 553 0.015156272
#> 554 0.018454475
#> 555 0.015010328
#> 556 0.019509714
#> 557 0.017820199
#> 558 0.016598727
#> 559 0.015382530
#> 560 0.020481600
#> 561 0.015156272
#> 562 0.014157430
#> 563 0.014193224
#> 564 0.014207308
#> 565 0.015594302
#> 566 0.014748547
#> 567 0.016580406
#> 568 0.015461556
#> 569 0.014881428
#> 570 0.014193224
#> 571 0.017496634
#> 572 0.014207308
#> 573 0.014820843
#> 574 0.014765124
#> 575 0.014765124
#> 576 0.016940819
#> 577 0.014863464
#> 578 0.019070336
#> 579 0.017462066
#> 580 0.016403060
#> 581 0.014765124
#> 582 0.020456872
#> 583 0.014765124
#> 584 0.015984584
#> 585 0.016148415
#> 586 0.016052775
#> 587 0.017520285
#> 588 0.016153587
#> 589 0.019969709
#> 590 0.018688183
#> 591 0.018002472
#> 592 0.016148415
#> 593 0.020913061
#> 594 0.016052775
#> 595 0.013884636
#> 596 0.013824489
#> 597 0.013901986
#> 598 0.016024300
#> 599 0.014081258
#> 600 0.016740602
#> 601 0.015392691
#> 602 0.014297181
#> 603 0.013824489
#> 604 0.019749124
#> 605 0.013901986
#> 606 0.020417326
#> 607 0.016991267
#> 608 0.016991267
#> 609 0.020027158
#> 610 0.017146197
#> 611 0.020028589
#> 612 0.018471676
#> 613 0.017609399
#> 614 0.016991267
#> 615 0.020866380
#> 616 0.016991267
#> 617 0.035964245
#> 618 0.016304763
#> 619 0.016129595
#> 620 0.023053436
#> 621 0.015982878
#> 622 0.021362378
#> 623 0.019845631
#> 624 0.018705762
#> 625 0.016304763
#> 626 0.022373437
#> 627 0.016129595
#> 628 0.020363753
#> 629 0.020260294
#> 630 0.020260294
#> 631 0.023947113
#> 632 0.021179723
#> 633 0.024379294
#> 634 0.023393162
#> 635 0.023122790
#> 636 0.020260294
#> 637 0.024270603
#> 638 0.020260294
#> 639 0.090009492
#> 640 0.013167170
#> 641 0.013002708
#> 642 0.018773655
#> 643 0.013072240
#> 644 0.015818554
#> 645 0.014313691
#> 646 0.013571897
#> 647 0.013167170
#> 648 0.018129183
#> 649 0.013002708
#> 650 0.013493315
#> 651 0.013653882
#> 652 0.013558523
#> 653 0.014568185
#> 654 0.013700216
#> 655 0.016867525
#> 656 0.015753549
#> 657 0.015007083
#> 658 0.013653882
#> 659 0.018258582
#> 660 0.013558523
#> 661 0.036651256
#> 662 0.014780925
#> 663 0.014666435
#> 664 0.017561664
#> 665 0.014572246
#> 666 0.019437034
#> 667 0.017663860
#> 668 0.016369555
#> 669 0.014780925
#> 670 0.020147600
#> 671 0.014666435
#> 672 0.013700296
#> 673 0.013628352
#> 674 0.013628352
#> 675 0.014544291
#> 676 0.014114660
#> 677 0.016452502
#> 678 0.015265144
#> 679 0.014570373
#> 680 0.013628352
#> 681 0.017184952
#> 682 0.013628352
#> 683 0.014308819
#> 684 0.014259432
#> 685 0.014259432
#> 686 0.015796244
#> 687 0.014293701
#> 688 0.018831404
#> 689 0.017187534
#> 690 0.016077773
#> 691 0.014259432
#> 692 0.020189865
#> 693 0.014259432
#> 694 0.015608514
#> 695 0.015669041
#> 696 0.015669041
#> 697 0.016785972
#> 698 0.015786758
#> 699 0.019827650
#> 700 0.018511257
#> 701 0.017777887
#> 702 0.015669041
#> 703 0.020503360
#> 704 0.015669041
#> 705 0.013300427
#> 706 0.013316691
#> 707 0.013316691
#> 708 0.014745666
#> 709 0.013520625
#> 710 0.016696303
#> 711 0.015315832
#> 712 0.014164712
#> 713 0.013316691
#> 714 0.019629224
#> 715 0.013316691
#> 716 0.019837968
#> 717 0.016336409
#> 718 0.016336409
#> 719 0.019050908
#> 720 0.016392058
#> 721 0.019919348
#> 722 0.018276077
#> 723 0.017298776
#> 724 0.016336409
#> 725 0.020314405
#> 726 0.016336409
#> 727 0.016195914
#> 728 0.015791628
#> 729 0.015791628
#> 730 0.022459907
#> 731 0.015616617
#> 732 0.021230627
#> 733 0.019670649
#> 734 0.018504409
#> 735 0.015791628
#> 736 0.022241843
#> 737 0.015791628
#> 738 0.019788368
#> 739 0.019697830
#> 740 0.019697830
#> 741 0.022863421
#> 742 0.020560586
#> 743 0.024275993
#> 744 0.023178803
#> 745 0.022839385
#> 746 0.019697830
#> 747 0.023903821
#> 748 0.019697830
#> 749 0.088492001
#> 750 0.012616943
#> 751 0.012483337
#> 752 0.018142332
#> 753 0.012472063
#> 754 0.015700665
#> 755 0.014146692
#> 756 0.013300950
#> 757 0.012616943
#> 758 0.017915464
#> 759 0.012483337
#> 760 0.013192869
#> 761 0.013276145
#> 762 0.013243051
#> 763 0.013757359
#> 764 0.013376056
#> 765 0.016871866
#> 766 0.015709433
#> 767 0.014929740
#> 768 0.013276145
#> 769 0.017993094
#> 770 0.013243051
#> 771 0.035455184
#> 772 0.014266143
#> 773 0.014265511
#> 774 0.016855736
#> 775 0.014135751
#> 776 0.019407467
#> 777 0.017577162
#> 778 0.016234716
#> 779 0.014266143
#> 780 0.020172667
#> 781 0.014265511
#> 782 0.013274224
#> 783 0.013166693
#> 784 0.013166693
#> 785 0.013744866
#> 786 0.013547909
#> 787 0.016350167
#> 788 0.015113408
#> 789 0.014328991
#> 790 0.013166693
#> 791 0.017067698
#> 792 0.013166693
#> 793 0.013901588
#> 794 0.013871881
#> 795 0.013871881
#> 796 0.014961556
#> 797 0.013824040
#> 798 0.018640257
#> 799 0.016959472
#> 800 0.015827435
#> 801 0.013871881
#> 802 0.020064083
#> 803 0.013871881
#> 804 0.015289486
#> 805 0.015345677
#> 806 0.015345677
#> 807 0.016261106
#> 808 0.015412925
#> 809 0.019725469
#> 810 0.018362638
#> 811 0.017587143
#> 812 0.015345677
#> 813 0.020327252
#> 814 0.015345677
#> 815 0.012818607
#> 816 0.012852380
#> 817 0.012852380
#> 818 0.013703112
#> 819 0.013004035
#> 820 0.016717310
#> 821 0.015272247
#> 822 0.014065107
#> 823 0.012852380
#> 824 0.019877911
#> 825 0.012852380
#> 826 0.019294507
#> 827 0.015798144
#> 828 0.015798144
#> 829 0.018222957
#> 830 0.015767655
#> 831 0.019840563
#> 832 0.018117121
#> 833 0.017045360
#> 834 0.015798144
#> 835 0.020083361
#> 836 0.015798144
#> 837 0.016831398
#> 838 0.015506402
#> 839 0.015506402
#> 840 0.021998846
#> 841 0.015281805
#> 842 0.021160707
#> 843 0.019550283
#> 844 0.018344939
#> 845 0.015506402
#> 846 0.022150507
#> 847 0.015506402
#> 848 0.019314108
#> 849 0.019230629
#> 850 0.019230629
#> 851 0.022005833
#> 852 0.020042911
#> 853 0.024208753
#> 854 0.023008274
#> 855 0.022608752
#> 856 0.019230629
#> 857 0.023963497
#> 858 0.019230629
#> 859 0.087350926
#> 860 0.012169999
#> 861 0.012077689
#> 862 0.017687655
#> 863 0.011948978
#> 864 0.015620575
#> 865 0.014031762
#> 866 0.013119454
#> 867 0.012169999
#> 868 0.018015157
#> 869 0.012077689
#> 870 0.012934274
#> 871 0.012979440
#> 872 0.012979440
#> 873 0.013165778
#> 874 0.013046293
#> 875 0.016899290
#> 876 0.015704878
#> 877 0.014886752
#> 878 0.012979440
#> 879 0.018017031
#> 880 0.012979440
#> 881 0.091461868
#> 882 0.013661051
#> 883 0.013661051
#> 884 0.015290552
#> 885 0.013092857
#> 886 0.019969158
#> 887 0.017901034
#> 888 0.016524671
#> 889 0.013661051
#> 890 0.023780061
#> 891 0.013661051
#> 892 0.013380767
#> 893 0.013097353
#> 894 0.013097353
#> 895 0.012757454
#> 896 0.013510194
#> 897 0.016327141
#> 898 0.015029375
#> 899 0.014313035
#> 900 0.013097353
#> 901 0.019934554
#> 902 0.013097353
#> 903 0.012196225
#> 904 0.012119038
#> 905 0.012119038
#> 906 0.013079390
#> 907 0.012010200
#> 908 0.018414616
#> 909 0.016445981
#> 910 0.015025505
#> 911 0.012119038
#> 912 0.020311937
#> 913 0.012119038
#> 914 0.013835400
#> 915 0.014077197
#> 916 0.014077197
#> 917 0.015258508
#> 918 0.014482657
#> 919 0.018644497
#> 920 0.017043973
#> 921 0.016244489
#> 922 0.014077197
#> 923 0.021575717
#> 924 0.014077197
#> 925 0.012724681
#> 926 0.012797171
#> 927 0.012797171
#> 928 0.012836324
#> 929 0.012394921
#> 930 0.016629304
#> 931 0.015133698
#> 932 0.014145221
#> 933 0.012797171
#> 934 0.022590701
#> 935 0.012797171
#> 936 0.018695444
#> 937 0.014806331
#> 938 0.014806331
#> 939 0.017465038
#> 940 0.014900188
#> 941 0.019290906
#> 942 0.017139676
#> 943 0.016102173
#> 944 0.014806331
#> 945 0.021668787
#> 946 0.014806331
#> 947 0.033672516
#> 948 0.014533400
#> 949 0.014533400
#> 950 0.020458758
#> 951 0.014307035
#> 952 0.020701858
#> 953 0.018827556
#> 954 0.017474494
#> 955 0.014533400
#> 956 0.023921656
#> 957 0.014533400
#> 958 0.018785355
#> 959 0.018182510
#> 960 0.018182510
#> 961 0.019290921
#> 962 0.018916515
#> 963 0.024528877
#> 964 0.023103806
#> 965 0.022475818
#> 966 0.018182510
#> 967 0.025280796
#> 968 0.018182510
#> 969 0.015698640
#> 970 0.010346653
#> 971 0.010346653
#> 972 0.018260116
#> 973 0.010057469
#> 974 0.014931185
#> 975 0.012990574
#> 976 0.011814835
#> 977 0.010346653
#> 978 0.019710362
#> 979 0.010346653
#> 980 0.012759697
#> 981 0.012769414
#> 982 0.012769414
#> 983 0.012370925
#> 984 0.012706857
#> 985 0.016963700
#> 986 0.015726914
#> 987 0.014888376
#> 988 0.012769414
#> 989 0.018786881
#> 990 0.012769414
#> 991 0.091680518
#> 992 0.014653034
#> 993 0.014653034
#> 994 0.015280454
#> 995 0.014199862
#> 996 0.020076424
#> 997 0.018071944
#> 998 0.016797760
#> 999 0.014653034
#> 1000 0.025862565
#> 1001 0.014653034
#> 1002 0.013052492
#> 1003 0.012928968
#> 1004 0.012928968
#> 1005 0.012904355
#> 1006 0.012962973
#> 1007 0.016463118
#> 1008 0.015077429
#> 1009 0.014275658
#> 1010 0.012928968
#> 1011 0.021433321
#> 1012 0.012928968
#> 1013 0.012764994
#> 1014 0.012669594
#> 1015 0.012669594
#> 1016 0.015956212
#> 1017 0.012943948
#> 1018 0.018384691
#> 1019 0.016197901
#> 1020 0.014657946
#> 1021 0.012669594
#> 1022 0.023619622
#> 1023 0.012669594
#> 1024 0.015220742
#> 1025 0.015267917
#> 1026 0.015267917
#> 1027 0.016831971
#> 1028 0.015356862
#> 1029 0.020029694
#> 1030 0.018447043
#> 1031 0.017383374
#> 1032 0.015267917
#> 1033 0.024018506
#> 1034 0.015267917
#> 1035 0.076694339
#> 1036 0.013584267
#> 1037 0.013584267
#> 1038 0.014062499
#> 1039 0.013437063
#> 1040 0.017444921
#> 1041 0.015931165
#> 1042 0.014961629
#> 1043 0.013584267
#> 1044 0.025908902
#> 1045 0.013584267
#> 1046 0.019174327
#> 1047 0.015054606
#> 1048 0.015054606
#> 1049 0.016227345
#> 1050 0.015093785
#> 1051 0.019416682
#> 1052 0.017263625
#> 1053 0.016124941
#> 1054 0.015054606
#> 1055 0.024786473
#> 1056 0.015054606
#> 1057 0.017326504
#> 1058 0.015036656
#> 1059 0.015036656
#> 1060 0.022482930
#> 1061 0.014861971
#> 1062 0.021561103
#> 1063 0.019603925
#> 1064 0.018162616
#> 1065 0.015036656
#> 1066 0.027045954
#> 1067 0.015036656
#> 1068 0.021331961
#> 1069 0.019594498
#> 1070 0.019594498
#> 1071 0.022167260
#> 1072 0.020343804
#> 1073 0.024298584
#> 1074 0.023058957
#> 1075 0.022641147
#> 1076 0.019594498
#> 1077 0.028824961
#> 1078 0.019594498
#> 1079 0.016551289
#> 1080 0.011174187
#> 1081 0.011193437
#> 1082 0.016726988
#> 1083 0.011100682
#> 1084 0.015530968
#> 1085 0.013519407
#> 1086 0.012129256
#> 1087 0.011174187
#> 1088 0.021712553
#> 1089 0.011193437
#> 1090 0.013518586
#> 1091 0.013489034
#> 1092 0.013489034
#> 1093 0.013402604
#> 1094 0.013671703
#> 1095 0.018288801
#> 1096 0.016863103
#> 1097 0.015973567
#> 1098 0.013489034
#> 1099 0.021791813
#> 1100 0.013489034
#> 1101 0.091917329
#> 1102 0.014615974
#> 1103 0.014615974
#> 1104 0.017066093
#> 1105 0.014283970
#> 1106 0.020498403
#> 1107 0.018489047
#> 1108 0.017166431
#> 1109 0.014615974
#> 1110 0.025473131
#> 1111 0.014615974
#> 1112 0.013424442
#> 1113 0.013191073
#> 1114 0.013191073
#> 1115 0.013214894
#> 1116 0.013608481
#> 1117 0.016324281
#> 1118 0.015005621
#> 1119 0.014327115
#> 1120 0.013191073
#> 1121 0.020955845
#> 1122 0.013191073
#> 1123 0.012658705
#> 1124 0.012587316
#> 1125 0.012587316
#> 1126 0.013548575
#> 1127 0.012486534
#> 1128 0.018484891
#> 1129 0.016558018
#> 1130 0.015155809
#> 1131 0.012587316
#> 1132 0.020825241
#> 1133 0.012587316
#> 1134 0.014654329
#> 1135 0.014659483
#> 1136 0.014659483
#> 1137 0.014913978
#> 1138 0.015131134
#> 1139 0.019039213
#> 1140 0.017613814
#> 1141 0.016828795
#> 1142 0.014659483
#> 1143 0.022436636
#> 1144 0.014659483
#> 1145 0.013035979
#> 1146 0.013303412
#> 1147 0.013303412
#> 1148 0.013345950
#> 1149 0.013136055
#> 1150 0.016826394
#> 1151 0.015401032
#> 1152 0.014483691
#> 1153 0.013303412
#> 1154 0.023774788
#> 1155 0.013303412
#> 1156 0.019075040
#> 1157 0.015185066
#> 1158 0.015185066
#> 1159 0.018134537
#> 1160 0.015235027
#> 1161 0.019285962
#> 1162 0.017166146
#> 1163 0.016306295
#> 1164 0.015185066
#> 1165 0.022624009
#> 1166 0.015185066
#> 1167 0.018812821
#> 1168 0.015506979
#> 1169 0.015506979
#> 1170 0.021779568
#> 1171 0.015211621
#> 1172 0.021020407
#> 1173 0.019291647
#> 1174 0.018044872
#> 1175 0.015506979
#> 1176 0.026695325
#> 1177 0.015506979
#> 1178 0.018729034
#> 1179 0.018157790
#> 1180 0.018157790
#> 1181 0.019105106
#> 1182 0.018943385
#> 1183 0.024402602
#> 1184 0.022972166
#> 1185 0.022309525
#> 1186 0.018157790
#> 1187 0.025997221
#> 1188 0.018157790
#> 1189 0.016454412
#> 1190 0.011061093
#> 1191 0.011061093
#> 1192 0.019635904
#> 1193 0.010961678
#> 1194 0.014690230
#> 1195 0.012878020
#> 1196 0.011800942
#> 1197 0.011061093
#> 1198 0.019626674
#> 1199 0.011061093
#> 1200 0.013292979
#> 1201 0.013302726
#> 1202 0.013302726
#> 1203 0.012008253
#> 1204 0.013318672
#> 1205 0.017117455
#> 1206 0.016020430
#> 1207 0.015350494
#> 1208 0.013302726
#> 1209 0.019594721
#> 1210 0.013302726
#>
#> [[4]]
#> start_methods actual_methods mean_na std_na mean_rmse std_rmse
#> 1 StructTS StructTS 0.2008547 0 13.70783 3.304705
#> 2 StructTS auto.arima 0.2008547 0 18.44962 11.837723
#> 3 StructTS exponential_ma 0.2008547 0 15.44824 4.136940
#> 4 StructTS linear_i 0.2008547 0 13.70783 3.304705
#> 5 StructTS linear_ma 0.2008547 0 16.16999 3.919539
#> 6 StructTS locf 0.2008547 0 20.65496 4.715850
#> 7 StructTS seadec 0.2008547 0 13.70783 3.304705
#> 8 StructTS simple_ma 0.2008547 0 17.35283 3.763980
#> 9 StructTS spline_i 0.2008547 0 16.02200 3.295344
#> 10 StructTS stine_i 0.2008547 0 13.81248 3.883347
#> 11 StructTS stl 0.2008547 0 13.70783 3.304705
#> 12 auto.arima StructTS 0.2008547 0 13.69752 3.404583
#> 13 auto.arima auto.arima 0.2008547 0 18.58835 11.694523
#> 14 auto.arima exponential_ma 0.2008547 0 15.35591 4.140265
#> 15 auto.arima linear_i 0.2008547 0 13.65196 3.293026
#> 16 auto.arima linear_ma 0.2008547 0 16.03682 3.928334
#> 17 auto.arima locf 0.2008547 0 19.95200 4.834591
#> 18 auto.arima seadec 0.2008547 0 13.69752 3.404583
#> 19 auto.arima simple_ma 0.2008547 0 17.15262 3.774364
#> 20 auto.arima spline_i 0.2008547 0 15.79642 3.348608
#> 21 auto.arima stine_i 0.2008547 0 13.75522 3.853573
#> 22 auto.arima stl 0.2008547 0 13.65196 3.293026
#> 23 exponential_ma StructTS 0.2008547 0 14.41203 3.269074
#> 24 exponential_ma auto.arima 0.2008547 0 19.91375 10.837597
#> 25 exponential_ma exponential_ma 0.2008547 0 15.77992 4.152301
#> 26 exponential_ma linear_i 0.2008547 0 14.39679 3.294649
#> 27 exponential_ma linear_ma 0.2008547 0 16.34610 3.952124
#> 28 exponential_ma locf 0.2008547 0 19.70225 4.944738
#> 29 exponential_ma seadec 0.2008547 0 14.41203 3.269074
#> 30 exponential_ma simple_ma 0.2008547 0 17.30401 3.803907
#> 31 exponential_ma spline_i 0.2008547 0 16.87074 3.282836
#> 32 exponential_ma stine_i 0.2008547 0 14.65115 3.730854
#> 33 exponential_ma stl 0.2008547 0 14.39679 3.294649
#> 34 linear_i StructTS 0.2008547 0 13.68640 3.404475
#> 35 linear_i auto.arima 0.2008547 0 18.58185 11.681783
#> 36 linear_i exponential_ma 0.2008547 0 15.34753 4.136989
#> 37 linear_i linear_i 0.2008547 0 13.63937 3.289224
#> 38 linear_i linear_ma 0.2008547 0 16.02999 3.924895
#> 39 linear_i locf 0.2008547 0 19.95003 4.836138
#> 40 linear_i seadec 0.2008547 0 13.68640 3.404475
#> 41 linear_i simple_ma 0.2008547 0 17.14839 3.770868
#> 42 linear_i spline_i 0.2008547 0 15.78502 3.345581
#> 43 linear_i stine_i 0.2008547 0 13.74251 3.850523
#> 44 linear_i stl 0.2008547 0 13.63937 3.289224
#> 45 linear_ma StructTS 0.2008547 0 14.81045 3.245793
#> 46 linear_ma auto.arima 0.2008547 0 20.26408 10.997764
#> 47 linear_ma exponential_ma 0.2008547 0 16.00191 4.152445
#> 48 linear_ma linear_i 0.2008547 0 14.78060 3.286686
#> 49 linear_ma linear_ma 0.2008547 0 16.51325 3.959616
#> 50 linear_ma locf 0.2008547 0 19.72890 4.974627
#> 51 linear_ma seadec 0.2008547 0 14.81045 3.245793
#> 52 linear_ma simple_ma 0.2008547 0 17.40164 3.815771
#> 53 linear_ma spline_i 0.2008547 0 17.46707 3.246671
#> 54 linear_ma stine_i 0.2008547 0 15.07542 3.700360
#> 55 linear_ma stl 0.2008547 0 14.78060 3.286686
#> 56 locf StructTS 0.2008547 0 14.20804 3.352201
#> 57 locf auto.arima 0.2008547 0 22.54442 15.221573
#> 58 locf exponential_ma 0.2008547 0 15.70161 4.203528
#> 59 locf linear_i 0.2008547 0 14.20746 3.353331
#> 60 locf linear_ma 0.2008547 0 16.40552 3.976914
#> 61 locf locf 0.2008547 0 23.48665 4.241981
#> 62 locf seadec 0.2008547 0 14.20804 3.352201
#> 63 locf simple_ma 0.2008547 0 17.59008 3.794766
#> 64 locf spline_i 0.2008547 0 16.56209 3.523281
#> 65 locf stine_i 0.2008547 0 14.48544 3.829317
#> 66 locf stl 0.2008547 0 14.20746 3.353331
#> 67 seadec StructTS 0.2008547 0 13.62552 3.307033
#> 68 seadec auto.arima 0.2008547 0 18.81639 11.780893
#> 69 seadec exponential_ma 0.2008547 0 15.33485 4.158172
#> 70 seadec linear_i 0.2008547 0 13.62552 3.307033
#> 71 seadec linear_ma 0.2008547 0 16.05605 3.940151
#> 72 seadec locf 0.2008547 0 20.51354 4.782344
#> 73 seadec seadec 0.2008547 0 13.62552 3.307033
#> 74 seadec simple_ma 0.2008547 0 17.24599 3.780954
#> 75 seadec spline_i 0.2008547 0 16.00208 3.299612
#> 76 seadec stine_i 0.2008547 0 13.76559 3.883537
#> 77 seadec stl 0.2008547 0 13.62552 3.307033
#> 78 simple_ma StructTS 0.2008547 0 15.31749 3.237614
#> 79 simple_ma auto.arima 0.2008547 0 21.52256 11.006446
#> 80 simple_ma exponential_ma 0.2008547 0 16.29383 4.150285
#> 81 simple_ma linear_i 0.2008547 0 15.29614 3.276661
#> 82 simple_ma linear_ma 0.2008547 0 16.73260 3.967137
#> 83 simple_ma locf 0.2008547 0 19.87580 4.985803
#> 84 simple_ma seadec 0.2008547 0 15.31749 3.237614
#> 85 simple_ma simple_ma 0.2008547 0 17.53245 3.828884
#> 86 simple_ma spline_i 0.2008547 0 18.29979 3.221092
#> 87 simple_ma stine_i 0.2008547 0 15.60692 3.690063
#> 88 simple_ma stl 0.2008547 0 15.29614 3.276661
#> 89 spline_i StructTS 0.2008547 0 13.44708 3.550257
#> 90 spline_i auto.arima 0.2008547 0 15.85683 4.570859
#> 91 spline_i exponential_ma 0.2008547 0 15.14065 4.095485
#> 92 spline_i linear_i 0.2008547 0 13.32401 3.242668
#> 93 spline_i linear_ma 0.2008547 0 15.87892 3.882329
#> 94 spline_i locf 0.2008547 0 20.45360 4.766230
#> 95 spline_i seadec 0.2008547 0 13.44708 3.550257
#> 96 spline_i simple_ma 0.2008547 0 17.09491 3.731401
#> 97 spline_i spline_i 0.2008547 0 15.53574 3.354859
#> 98 spline_i stine_i 0.2008547 0 13.40973 3.824763
#> 99 spline_i stl 0.2008547 0 13.32401 3.242668
#> 100 stine_i StructTS 0.2008547 0 13.64314 3.416804
#> 101 stine_i auto.arima 0.2008547 0 18.57585 11.670005
#> 102 stine_i exponential_ma 0.2008547 0 15.31307 4.133514
#> 103 stine_i linear_i 0.2008547 0 13.58828 3.281818
#> 104 stine_i linear_ma 0.2008547 0 16.00232 3.921765
#> 105 stine_i locf 0.2008547 0 20.00012 4.826723
#> 106 stine_i seadec 0.2008547 0 13.64314 3.416804
#> 107 stine_i simple_ma 0.2008547 0 17.13166 3.768258
#> 108 stine_i spline_i 0.2008547 0 15.72246 3.344884
#> 109 stine_i stine_i 0.2008547 0 13.68670 3.842278
#> 110 stine_i stl 0.2008547 0 13.58828 3.281818
#> 111 stl StructTS 0.2008547 0 13.71290 3.094702
#> 112 stl auto.arima 0.2008547 0 18.51994 11.866401
#> 113 stl exponential_ma 0.2008547 0 15.34464 4.050163
#> 114 stl linear_i 0.2008547 0 13.71290 3.094702
#> 115 stl linear_ma 0.2008547 0 16.04249 3.859541
#> 116 stl locf 0.2008547 0 20.50821 4.847657
#> 117 stl seadec 0.2008547 0 13.71290 3.094702
#> 118 stl simple_ma 0.2008547 0 17.22077 3.734649
#> 119 stl spline_i 0.2008547 0 16.20353 3.210321
#> 120 stl stine_i 0.2008547 0 13.91354 3.653542
#> 121 stl stl 0.2008547 0 13.71290 3.094702
#> mean_cor std_cor mean_mase std_mase mean_smape std_smape
#> 1 0.9862118 0.006851712 0.1415244 0.02338313 0.01370977 0.002095481
#> 2 0.9706575 0.042539944 0.1972781 0.15871138 0.02278623 0.024387473
#> 3 0.9823127 0.010925892 0.1671708 0.03023949 0.01601681 0.002737688
#> 4 0.9862118 0.006851712 0.1415244 0.02338313 0.01370977 0.002095481
#> 5 0.9808328 0.010680517 0.1786359 0.02954179 0.01710438 0.002644070
#> 6 0.9696304 0.013736249 0.2356904 0.03072217 0.02176023 0.002048783
#> 7 0.9862118 0.006851712 0.1415244 0.02338313 0.01370977 0.002095481
#> 8 0.9781430 0.010833145 0.1971694 0.03018455 0.01882583 0.002667583
#> 9 0.9815108 0.008583839 0.1590881 0.02462627 0.01570412 0.002964031
#> 10 0.9857532 0.008571221 0.1410246 0.02631089 0.01366324 0.002402576
#> 11 0.9862118 0.006851712 0.1415244 0.02338313 0.01370977 0.002095481
#> 12 0.9859498 0.007332712 0.1529354 0.02521553 0.01360863 0.002110299
#> 13 0.9698975 0.042363531 0.2138473 0.16849604 0.02265140 0.023754356
#> 14 0.9822026 0.011044977 0.1822392 0.03225279 0.01610250 0.002677706
#> 15 0.9860876 0.006956823 0.1528769 0.02506170 0.01358539 0.002050458
#> 16 0.9808003 0.010774272 0.1939516 0.03122631 0.01715961 0.002574090
#> 17 0.9708953 0.014003611 0.2423308 0.03403247 0.02043860 0.002042135
#> 18 0.9859498 0.007332712 0.1529354 0.02521553 0.01360863 0.002110299
#> 19 0.9782510 0.010890785 0.2127757 0.03169514 0.01876916 0.002599143
#> 20 0.9816556 0.008728614 0.1665699 0.03022969 0.01512538 0.003314218
#> 21 0.9856338 0.008656171 0.1504864 0.02792667 0.01334009 0.002314762
#> 22 0.9860876 0.006956823 0.1528769 0.02506170 0.01358539 0.002050458
#> 23 0.9844250 0.007355123 0.1621819 0.02551823 0.01451874 0.002067503
#> 24 0.9671382 0.039249216 0.2326194 0.15374660 0.02464643 0.023036776
#> 25 0.9810649 0.011348749 0.1825743 0.03296074 0.01640486 0.002734650
#> 26 0.9844458 0.007383714 0.1620556 0.02569304 0.01450944 0.002079336
#> 27 0.9798713 0.011041461 0.1928778 0.03159670 0.01736972 0.002618481
#> 28 0.9711019 0.014482982 0.2292148 0.03337690 0.01997392 0.002026497
#> 29 0.9844250 0.007355123 0.1621819 0.02551823 0.01451874 0.002067503
#> 30 0.9776388 0.011107767 0.2095113 0.03154031 0.01885706 0.002607458
#> 31 0.9789702 0.009128090 0.1854616 0.02923925 0.01686074 0.003209535
#> 32 0.9837226 0.008972669 0.1638004 0.02710510 0.01460123 0.002261464
#> 33 0.9844458 0.007383714 0.1620556 0.02569304 0.01450944 0.002079336
#> 34 0.9859928 0.007320704 0.1528704 0.02525619 0.01359973 0.002116099
#> 35 0.9699747 0.042207127 0.2136576 0.16830033 0.02262996 0.023715063
#> 36 0.9822492 0.011017981 0.1824836 0.03221066 0.01611630 0.002675896
#> 37 0.9861343 0.006934602 0.1527874 0.02503855 0.01357453 0.002051330
#> 38 0.9808460 0.010748211 0.1941813 0.03119687 0.01717191 0.002572885
#> 39 0.9709564 0.013963169 0.2420322 0.03396453 0.02040501 0.002037820
#> 40 0.9859928 0.007320704 0.1528704 0.02525619 0.01359973 0.002116099
#> 41 0.9782951 0.010864984 0.2130820 0.03169394 0.01878498 0.002599418
#> 42 0.9817137 0.008694311 0.1665438 0.03033280 0.01511959 0.003325363
#> 43 0.9856819 0.008628026 0.1502755 0.02784545 0.01332009 0.002312141
#> 44 0.9861343 0.006934602 0.1527874 0.02503855 0.01357453 0.002051330
#> 45 0.9835359 0.007527597 0.1648579 0.02540031 0.01493734 0.002077730
#> 46 0.9658778 0.040416719 0.2342268 0.15301241 0.02510764 0.023344432
#> 47 0.9804824 0.011491145 0.1817411 0.03287063 0.01658336 0.002758401
#> 48 0.9835826 0.007581329 0.1645412 0.02573645 0.01490922 0.002098745
#> 49 0.9793929 0.011168753 0.1911252 0.03151753 0.01749253 0.002644184
#> 50 0.9708534 0.014695772 0.2247070 0.03274292 0.02000236 0.002030616
#> 51 0.9835359 0.007527597 0.1648579 0.02540031 0.01493734 0.002077730
#> 52 0.9773014 0.011215101 0.2066600 0.03126910 0.01892434 0.002618641
#> 53 0.9774279 0.009338894 0.1915894 0.02910217 0.01757078 0.003160189
#> 54 0.9827652 0.009161781 0.1670798 0.02711020 0.01507054 0.002272768
#> 55 0.9835826 0.007581329 0.1645412 0.02573645 0.01490922 0.002098745
#> 56 0.9848440 0.007292215 0.1625079 0.02746122 0.01434528 0.002252490
#> 57 0.9543885 0.058567469 0.2787433 0.22462470 0.02973158 0.029044543
#> 58 0.9812631 0.011393170 0.1853838 0.03388703 0.01631079 0.002813018
#> 59 0.9848447 0.007293317 0.1625302 0.02742438 0.01434720 0.002249485
#> 60 0.9797737 0.011114011 0.1979293 0.03158079 0.01740345 0.002641369
#> 61 0.9602497 0.014182197 0.2968176 0.03933161 0.02450047 0.002463655
#> 62 0.9848440 0.007292215 0.1625079 0.02746122 0.01434528 0.002252490
#> 63 0.9769838 0.011209856 0.2186976 0.03053788 0.01914950 0.002551164
#> 64 0.9796446 0.009765958 0.1862479 0.03101981 0.01660426 0.003304670
#> 65 0.9840485 0.008995519 0.1639576 0.02953444 0.01439727 0.002438292
#> 66 0.9848447 0.007293317 0.1625302 0.02742438 0.01434720 0.002249485
#> 67 0.9863670 0.006828819 0.1415048 0.02273902 0.01363901 0.002052280
#> 68 0.9698739 0.041628700 0.2058366 0.15896682 0.02432106 0.024442148
#> 69 0.9825425 0.010921255 0.1667810 0.03075655 0.01590086 0.002795723
#> 70 0.9863670 0.006828819 0.1415048 0.02273902 0.01363901 0.002052280
#> 71 0.9810772 0.010677306 0.1780065 0.03010100 0.01693426 0.002723481
#> 72 0.9699888 0.013781041 0.2360590 0.03107850 0.02175615 0.002117420
#> 73 0.9863670 0.006828819 0.1415048 0.02273902 0.01363901 0.002052280
#> 74 0.9783927 0.010826558 0.1966471 0.03057875 0.01864012 0.002731072
#> 75 0.9815652 0.008568320 0.1589562 0.02555926 0.01570680 0.002988528
#> 76 0.9858426 0.008536047 0.1416424 0.02570596 0.01363789 0.002328867
#> 77 0.9863670 0.006828819 0.1415048 0.02273902 0.01363901 0.002052280
#> 78 0.9823634 0.007786933 0.1656094 0.02502984 0.01546912 0.002104543
#> 79 0.9622986 0.041317445 0.2431406 0.14774445 0.02772545 0.023678936
#> 80 0.9797174 0.011665771 0.1783596 0.03214389 0.01681998 0.002778588
#> 81 0.9823957 0.007838317 0.1650663 0.02539819 0.01540259 0.002118176
#> 82 0.9787728 0.011323845 0.1865069 0.03085955 0.01766024 0.002671519
#> 83 0.9702626 0.014935707 0.2201793 0.03183190 0.02029955 0.002051049
#> 84 0.9823634 0.007786933 0.1656094 0.02502984 0.01546912 0.002104543
#> 85 0.9768668 0.011344028 0.2006191 0.03047315 0.01903271 0.002633088
#> 86 0.9751907 0.009674587 0.1963822 0.02874444 0.01849037 0.003095432
#> 87 0.9815161 0.009452321 0.1677384 0.02701083 0.01559384 0.002306927
#> 88 0.9823957 0.007838317 0.1650663 0.02539819 0.01540259 0.002118176
#> 89 0.9865217 0.007621641 0.1427275 0.02232362 0.01328157 0.002002585
#> 90 0.9813551 0.010577196 0.1617616 0.04331342 0.01669031 0.006129335
#> 91 0.9828849 0.010731391 0.1728227 0.03044205 0.01591542 0.002660371
#> 92 0.9868834 0.006615867 0.1427471 0.02237624 0.01326857 0.001969782
#> 93 0.9813899 0.010490956 0.1855580 0.02950145 0.01708346 0.002559604
#> 94 0.9699860 0.013750206 0.2438126 0.03274941 0.02128544 0.002048177
#> 95 0.9865217 0.007621641 0.1427275 0.02232362 0.01328157 0.002002585
#> 96 0.9786500 0.010654663 0.2053933 0.03037801 0.01882566 0.002613083
#> 97 0.9824510 0.008479070 0.1516850 0.02967568 0.01439570 0.003411341
#> 98 0.9864640 0.008314374 0.1406500 0.02459888 0.01303380 0.002196524
#> 99 0.9868834 0.006615867 0.1427471 0.02237624 0.01326857 0.001969782
#> 100 0.9860822 0.007344557 0.1513242 0.02497771 0.01347927 0.002093073
#> 101 0.9700193 0.042016110 0.2116722 0.16827428 0.02245540 0.023706480
#> 102 0.9823398 0.010993321 0.1819196 0.03210283 0.01607866 0.002668251
#> 103 0.9862467 0.006894190 0.1512630 0.02481624 0.01345636 0.002033856
#> 104 0.9809255 0.010727192 0.1937473 0.03114714 0.01714616 0.002566737
#> 105 0.9708536 0.013928254 0.2429083 0.03382089 0.02045990 0.002035607
#> 106 0.9860822 0.007344557 0.1513242 0.02497771 0.01347927 0.002093073
#> 107 0.9783542 0.010848166 0.2128659 0.03161536 0.01877821 0.002594133
#> 108 0.9818690 0.008659454 0.1644438 0.02976771 0.01495445 0.003269717
#> 109 0.9858053 0.008582690 0.1485507 0.02758251 0.01318622 0.002291109
#> 110 0.9862467 0.006894190 0.1512630 0.02481624 0.01345636 0.002033856
#> 111 0.9862800 0.006506305 0.1425704 0.01991794 0.01415709 0.001937604
#> 112 0.9704606 0.042745854 0.1970425 0.15613089 0.02320551 0.024278457
#> 113 0.9825691 0.010676743 0.1659484 0.02889594 0.01617740 0.002782535
#> 114 0.9862800 0.006506305 0.1425704 0.01991794 0.01415709 0.001937604
#> 115 0.9811391 0.010473773 0.1764871 0.02869155 0.01713959 0.002749243
#> 116 0.9699413 0.014050307 0.2364496 0.03172140 0.02280036 0.002609790
#> 117 0.9862800 0.006506305 0.1425704 0.01991794 0.01415709 0.001937604
#> 118 0.9784665 0.010692209 0.1942094 0.02962050 0.01876898 0.002775537
#> 119 0.9811354 0.008246231 0.1599346 0.02725261 0.01627529 0.003318695
#> 120 0.9856570 0.008207900 0.1437910 0.02214151 0.01423166 0.002138008
#> 121 0.9862800 0.006506305 0.1425704 0.01991794 0.01415709 0.001937604
#>
#> [[5]]
#> Time Series:
#> Start = 1
#> End = 468
#> Frequency = 1
#> [1] 112.0000 118.0000 132.0000 132.4064 133.4049 135.0000 148.0000 148.0000
#> [9] 136.0000 119.0000 104.0000 118.0000 115.0000 127.7144 141.0000 135.0000
#> [17] 125.0000 149.0000 170.0000 170.0000 151.1620 133.0000 114.0000 140.0000
#> [25] 145.0000 150.0000 178.0000 174.6096 172.0000 178.0000 199.0000 199.0000
#> [33] 184.0000 162.0000 146.0000 166.0000 171.0000 180.0000 193.0000 187.5806
#> [41] 183.0000 218.0000 230.0000 242.0000 209.0000 191.0000 192.0705 194.0000
#> [49] 196.0000 196.0000 236.0000 235.0000 229.0000 243.0000 264.0000 249.9411
#> [57] 237.0000 211.0000 180.0000 201.0000 204.0000 219.0103 235.0000 227.0000
#> [65] 234.0000 252.5081 272.1455 293.0000 259.0000 230.4846 203.0000 229.0000
#> [73] 242.0000 233.0000 267.0000 269.0000 270.0000 315.0000 312.6035 311.6050
#> [81] 312.0000 274.0000 237.0000 259.9188 284.0000 277.0000 317.0000 313.0000
#> [89] 318.0000 364.6845 413.0000 405.0000 354.7068 306.0000 305.3173 306.0000
#> [97] 315.0000 334.7515 356.0000 376.2844 398.2517 422.0000 443.5083 467.0000
#> [105] 404.0000 347.0000 305.0000 336.0000 340.0000 318.0000 332.2570 348.0000
#> [113] 363.0000 435.0000 491.0000 446.5016 404.0000 359.0000 310.0000 337.0000
#> [121] 360.0000 342.0000 406.0000 396.0000 420.0000 482.9201 548.0000 504.3722
#> [129] 463.0000 407.0000 362.0000 369.9976 379.6499 391.0000 419.0000 461.0000
#> [137] 496.8889 535.0000 622.0000 606.0000 508.0000 461.0000 390.0000 432.0000
#> [145] 112.0000 118.0000 132.0000 132.4064 133.4049 135.0000 148.0000 148.0000
#> [153] 136.0000 119.0000 104.0000 118.0000 115.0000 127.7144 141.0000 135.0000
#> [161] 125.0000 149.0000 170.0000 170.0000 151.1620 133.0000 114.0000 140.0000
#> [169] 145.0000 150.0000 178.0000 174.6096 172.0000 178.0000 199.0000 199.0000
#> [177] 184.0000 162.0000 146.0000 166.0000 171.0000 180.0000 193.0000 187.5806
#> [185] 183.0000 218.0000 230.0000 242.0000 209.0000 191.0000 192.0705 194.0000
#> [193] 196.0000 196.0000 236.0000 235.0000 229.0000 243.0000 264.0000 249.9411
#> [201] 237.0000 211.0000 180.0000 201.0000 204.0000 219.0103 235.0000 227.0000
#> [209] 234.0000 252.5081 272.1455 293.0000 259.0000 230.4846 203.0000 229.0000
#> [217] 242.0000 233.0000 267.0000 269.0000 270.0000 315.0000 312.6035 311.6050
#> [225] 312.0000 274.0000 237.0000 259.9188 284.0000 277.0000 317.0000 313.0000
#> [233] 318.0000 364.6845 413.0000 405.0000 354.7068 306.0000 305.3173 306.0000
#> [241] 315.0000 334.7515 356.0000 376.2844 398.2517 422.0000 443.5083 467.0000
#> [249] 404.0000 347.0000 305.0000 336.0000 340.0000 318.0000 332.2570 348.0000
#> [257] 363.0000 435.0000 491.0000 446.5016 404.0000 359.0000 310.0000 337.0000
#> [265] 360.0000 342.0000 406.0000 396.0000 420.0000 482.9201 548.0000 504.3722
#> [273] 463.0000 407.0000 362.0000 369.9976 379.6499 391.0000 419.0000 461.0000
#> [281] 496.8889 535.0000 622.0000 606.0000 508.0000 461.0000 390.0000 432.0000
#> [289] 112.0000 118.0000 132.0000 132.4064 133.4049 135.0000 148.0000 148.0000
#> [297] 136.0000 119.0000 104.0000 118.0000 115.0000 127.7144 141.0000 135.0000
#> [305] 125.0000 149.0000 170.0000 170.0000 151.1620 133.0000 114.0000 140.0000
#> [313] 145.0000 150.0000 178.0000 174.6096 172.0000 178.0000 199.0000 199.0000
#> [321] 184.0000 162.0000 146.0000 166.0000 171.0000 180.0000 193.0000 187.5806
#> [329] 183.0000 218.0000 230.0000 242.0000 209.0000 191.0000 192.0705 194.0000
#> [337] 196.0000 196.0000 236.0000 235.0000 229.0000 243.0000 264.0000 249.9411
#> [345] 237.0000 211.0000 180.0000 201.0000 204.0000 219.0103 235.0000 227.0000
#> [353] 234.0000 252.5081 272.1455 293.0000 259.0000 230.4846 203.0000 229.0000
#> [361] 242.0000 233.0000 267.0000 269.0000 270.0000 315.0000 312.6035 311.6050
#> [369] 312.0000 274.0000 237.0000 259.9188 284.0000 277.0000 317.0000 313.0000
#> [377] 318.0000 364.6845 413.0000 405.0000 354.7068 306.0000 305.3173 306.0000
#> [385] 315.0000 334.7515 356.0000 376.2844 398.2517 422.0000 443.5083 467.0000
#> [393] 404.0000 347.0000 305.0000 336.0000 340.0000 318.0000 332.2570 348.0000
#> [401] 363.0000 435.0000 491.0000 446.5016 404.0000 359.0000 310.0000 337.0000
#> [409] 360.0000 342.0000 406.0000 396.0000 420.0000 482.9201 548.0000 504.3722
#> [417] 463.0000 407.0000 362.0000 369.9976 379.6499 391.0000 419.0000 461.0000
#> [425] 496.8889 535.0000 622.0000 606.0000 508.0000 461.0000 390.0000 432.0000
#> [433] 112.0000 118.0000 132.0000 132.4064 133.4049 135.0000 148.0000 148.0000
#> [441] 136.0000 119.0000 104.0000 118.0000 115.0000 127.7144 141.0000 135.0000
#> [449] 125.0000 149.0000 170.0000 170.0000 151.1620 133.0000 114.0000 140.0000
#> [457] 145.0000 150.0000 178.0000 174.6096 172.0000 178.0000 199.0000 199.0000
#> [465] 184.0000 162.0000 146.0000 166.0000
#>
# For an easy interpretation of kssa results
# please use function kssa_plot
# }
# Example 2: Compare only locf and linear imputation
library("kssa")
library("imputeTS")
# Create 20% random missing data in tsAirgapComplete time series from imputeTS
airgap_na <- missMethods::delete_MCAR(as.data.frame(tsAirgapComplete), 0.2)
# Convert to time series object
airgap_na_ts <- ts(airgap_na, start = c(1959, 1), end = c(1997, 12), frequency = 12)
# Apply the kssa algorithm with 5 segments, 10 iterations, 20% of missing data,
# compare among all applied methods (locf and linear interpolation).
# Remember that percentmd must match with
# the real percentage of missing data in the input time series
results_kssa <- kssa(airgap_na_ts,
start_methods = c("locf", "linear_i"),
actual_methods = c("locf", "linear_i"),
segments = 5,
iterations = 10,
percentmd = 0.2
)
# Print and check results
results_kssa
#> [[1]]
#> $start_methods
#> [1] "locf" "locf" "locf" "locf" "locf" "locf"
#> [7] "locf" "locf" "locf" "locf" "locf" "locf"
#> [13] "locf" "locf" "locf" "locf" "locf" "locf"
#> [19] "locf" "locf" "linear_i" "linear_i" "linear_i" "linear_i"
#> [25] "linear_i" "linear_i" "linear_i" "linear_i" "linear_i" "linear_i"
#> [31] "linear_i" "linear_i" "linear_i" "linear_i" "linear_i" "linear_i"
#> [37] "linear_i" "linear_i" "linear_i" "linear_i"
#>
#> $actual_methods
#> [1] "locf" "linear_i" "locf" "linear_i" "locf" "linear_i"
#> [7] "locf" "linear_i" "locf" "linear_i" "locf" "linear_i"
#> [13] "locf" "linear_i" "locf" "linear_i" "locf" "linear_i"
#> [19] "locf" "linear_i" "locf" "linear_i" "locf" "linear_i"
#> [25] "locf" "linear_i" "locf" "linear_i" "locf" "linear_i"
#> [31] "locf" "linear_i" "locf" "linear_i" "locf" "linear_i"
#> [37] "locf" "linear_i" "locf" "linear_i"
#>
#> $percent_md
#> [1] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [8] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [15] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [22] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [29] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#> [36] 0.2008547 0.2008547 0.2008547 0.2008547 0.2008547
#>
#> $rmse
#> [1] 25.041376 12.050568 18.959358 13.035029 22.148055 15.215724 23.497227
#> [8] 15.773766 24.584192 13.712013 24.203288 15.087523 26.782999 14.813108
#> [15] 32.321932 21.450776 18.461151 8.244523 18.866886 12.691618 22.214040
#> [22] 11.281992 13.995134 12.357603 17.812350 14.951648 20.801758 15.241303
#> [29] 19.281454 12.496975 20.569759 14.588236 24.601752 14.467713 29.802385
#> [36] 20.808853 14.933467 8.292648 15.488190 11.906723
#>
#> $cor
#> [1] 0.9559549 0.9895928 0.9744403 0.9878325 0.9650902 0.9834647 0.9603129
#> [8] 0.9822195 0.9603025 0.9866679 0.9583245 0.9836163 0.9485011 0.9842834
#> [15] 0.9290482 0.9671176 0.9759712 0.9951113 0.9745508 0.9885411 0.9654108
#> [22] 0.9909896 0.9862175 0.9891396 0.9776917 0.9842142 0.9691951 0.9836141
#> [29] 0.9754749 0.9889680 0.9702322 0.9848512 0.9572118 0.9852438 0.9408069
#> [36] 0.9692649 0.9843348 0.9951106 0.9829887 0.9899469
#>
#> $mase
#> [1] 0.3014284 0.1525749 0.2588599 0.1516824 0.3068743 0.1575972 0.2786466
#> [8] 0.1727699 0.3346482 0.1623169 0.2902644 0.1692604 0.3004300 0.1530438
#> [15] 0.3825717 0.2300422 0.2520526 0.1217755 0.2623997 0.1542389 0.2464857
#> [22] 0.1351027 0.2017238 0.1405486 0.2502071 0.1591931 0.2340359 0.1641171
#> [29] 0.2639125 0.1402460 0.2293464 0.1626648 0.2511752 0.1535733 0.3196872
#> [36] 0.2117986 0.2077293 0.1188559 0.2160191 0.1417739
#>
#> $smape
#> [1] 0.02586256 0.01465303 0.02143332 0.01292897 0.02361962 0.01266959
#> [7] 0.02401851 0.01526792 0.02590890 0.01358427 0.02478647 0.01505461
#> [13] 0.02704595 0.01503666 0.02882496 0.01959450 0.02171255 0.01119344
#> [19] 0.02179181 0.01348903 0.02122420 0.01333677 0.01740955 0.01220903
#> [25] 0.01997418 0.01271150 0.02058105 0.01456026 0.02096426 0.01195275
#> [31] 0.02004065 0.01434877 0.02271850 0.01475277 0.02416268 0.01828170
#> [37] 0.01883585 0.01104369 0.01813921 0.01254811
#>
#> attr(,"row.names")
#> [1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25
#> [26] 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40
#> attr(,"class")
#> [1] "kssa.table"
#>
#> [[2]]
#> $start_methods
#> [1] "linear_i" "linear_i" "locf" "locf"
#>
#> $actual_methods
#> [1] "linear_i" "locf" "linear_i" "locf"
#>
#> $mean_na
#> [1] 0.2008547 0.2008547 0.2008547 0.2008547
#>
#> $std_na
#> [1] 0 0 0 0
#>
#> $mean_rmse
#> [1] 13.63937 19.95003 14.20746 23.48665
#>
#> $std_rmse
#> [1] 3.289224 4.836138 3.353331 4.241981
#>
#> $mean_cor
#> [1] 0.9861343 0.9709564 0.9848447 0.9602497
#>
#> $std_cor
#> [1] 0.006934602 0.013963169 0.007293317 0.014182197
#>
#> $mean_mase
#> [1] 0.1527874 0.2420322 0.1625302 0.2968176
#>
#> $std_mase
#> [1] 0.02503855 0.03396453 0.02742438 0.03933161
#>
#> $mean_smape
#> [1] 0.01357453 0.02040501 0.01434720 0.02450047
#>
#> $std_smape
#> [1] 0.002051330 0.002037820 0.002249485 0.002463655
#>
#> attr(,"class")
#> [1] "kssa.table"
#> attr(,"row.names")
#> [1] 1 2 3 4
#> attr(,"groups")
#> # A tibble: 2 × 2
#> start_methods .rows
#> <chr> <list<int>>
#> 1 linear_i [2]
#> 2 locf [2]
#>
#> [[3]]
#> start_methods actual_methods percent_md rmse cor mase
#> 1 locf locf 0.2008547 25.041376 0.9559549 0.3014284
#> 2 locf linear_i 0.2008547 12.050568 0.9895928 0.1525749
#> 3 locf locf 0.2008547 18.959358 0.9744403 0.2588599
#> 4 locf linear_i 0.2008547 13.035029 0.9878325 0.1516824
#> 5 locf locf 0.2008547 22.148055 0.9650902 0.3068743
#> 6 locf linear_i 0.2008547 15.215724 0.9834647 0.1575972
#> 7 locf locf 0.2008547 23.497227 0.9603129 0.2786466
#> 8 locf linear_i 0.2008547 15.773766 0.9822195 0.1727699
#> 9 locf locf 0.2008547 24.584192 0.9603025 0.3346482
#> 10 locf linear_i 0.2008547 13.712013 0.9866679 0.1623169
#> 11 locf locf 0.2008547 24.203288 0.9583245 0.2902644
#> 12 locf linear_i 0.2008547 15.087523 0.9836163 0.1692604
#> 13 locf locf 0.2008547 26.782999 0.9485011 0.3004300
#> 14 locf linear_i 0.2008547 14.813108 0.9842834 0.1530438
#> 15 locf locf 0.2008547 32.321932 0.9290482 0.3825717
#> 16 locf linear_i 0.2008547 21.450776 0.9671176 0.2300422
#> 17 locf locf 0.2008547 18.461151 0.9759712 0.2520526
#> 18 locf linear_i 0.2008547 8.244523 0.9951113 0.1217755
#> 19 locf locf 0.2008547 18.866886 0.9745508 0.2623997
#> 20 locf linear_i 0.2008547 12.691618 0.9885411 0.1542389
#> 21 linear_i locf 0.2008547 22.214040 0.9654108 0.2464857
#> 22 linear_i linear_i 0.2008547 11.281992 0.9909896 0.1351027
#> 23 linear_i locf 0.2008547 13.995134 0.9862175 0.2017238
#> 24 linear_i linear_i 0.2008547 12.357603 0.9891396 0.1405486
#> 25 linear_i locf 0.2008547 17.812350 0.9776917 0.2502071
#> 26 linear_i linear_i 0.2008547 14.951648 0.9842142 0.1591931
#> 27 linear_i locf 0.2008547 20.801758 0.9691951 0.2340359
#> 28 linear_i linear_i 0.2008547 15.241303 0.9836141 0.1641171
#> 29 linear_i locf 0.2008547 19.281454 0.9754749 0.2639125
#> 30 linear_i linear_i 0.2008547 12.496975 0.9889680 0.1402460
#> 31 linear_i locf 0.2008547 20.569759 0.9702322 0.2293464
#> 32 linear_i linear_i 0.2008547 14.588236 0.9848512 0.1626648
#> 33 linear_i locf 0.2008547 24.601752 0.9572118 0.2511752
#> 34 linear_i linear_i 0.2008547 14.467713 0.9852438 0.1535733
#> 35 linear_i locf 0.2008547 29.802385 0.9408069 0.3196872
#> 36 linear_i linear_i 0.2008547 20.808853 0.9692649 0.2117986
#> 37 linear_i locf 0.2008547 14.933467 0.9843348 0.2077293
#> 38 linear_i linear_i 0.2008547 8.292648 0.9951106 0.1188559
#> 39 linear_i locf 0.2008547 15.488190 0.9829887 0.2160191
#> 40 linear_i linear_i 0.2008547 11.906723 0.9899469 0.1417739
#> smape
#> 1 0.02586256
#> 2 0.01465303
#> 3 0.02143332
#> 4 0.01292897
#> 5 0.02361962
#> 6 0.01266959
#> 7 0.02401851
#> 8 0.01526792
#> 9 0.02590890
#> 10 0.01358427
#> 11 0.02478647
#> 12 0.01505461
#> 13 0.02704595
#> 14 0.01503666
#> 15 0.02882496
#> 16 0.01959450
#> 17 0.02171255
#> 18 0.01119344
#> 19 0.02179181
#> 20 0.01348903
#> 21 0.02122420
#> 22 0.01333677
#> 23 0.01740955
#> 24 0.01220903
#> 25 0.01997418
#> 26 0.01271150
#> 27 0.02058105
#> 28 0.01456026
#> 29 0.02096426
#> 30 0.01195275
#> 31 0.02004065
#> 32 0.01434877
#> 33 0.02271850
#> 34 0.01475277
#> 35 0.02416268
#> 36 0.01828170
#> 37 0.01883585
#> 38 0.01104369
#> 39 0.01813921
#> 40 0.01254811
#>
#> [[4]]
#> start_methods actual_methods mean_na std_na mean_rmse std_rmse mean_cor
#> 1 linear_i linear_i 0.2008547 0 13.63937 3.289224 0.9861343
#> 2 linear_i locf 0.2008547 0 19.95003 4.836138 0.9709564
#> 3 locf linear_i 0.2008547 0 14.20746 3.353331 0.9848447
#> 4 locf locf 0.2008547 0 23.48665 4.241981 0.9602497
#> std_cor mean_mase std_mase mean_smape std_smape
#> 1 0.006934602 0.1527874 0.02503855 0.01357453 0.002051330
#> 2 0.013963169 0.2420322 0.03396453 0.02040501 0.002037820
#> 3 0.007293317 0.1625302 0.02742438 0.01434720 0.002249485
#> 4 0.014182197 0.2968176 0.03933161 0.02450047 0.002463655
#>
#> [[5]]
#> Time Series:
#> Start = 1
#> End = 468
#> Frequency = 1
#> [1] 112 118 132 132 132 135 148 148 136 119 104 118 115 115 141 135 125 149
#> [19] 170 170 170 133 114 140 145 150 178 178 172 178 199 199 184 162 146 166
#> [37] 171 180 193 193 183 218 230 242 209 191 191 194 196 196 236 235 229 243
#> [55] 264 264 237 211 180 201 204 204 235 227 234 234 234 293 259 259 203 229
#> [73] 242 233 267 269 270 315 315 315 312 274 237 237 284 277 317 313 318 318
#> [91] 413 405 405 306 306 306 315 315 356 356 356 422 422 467 404 347 305 336
#> [109] 340 318 318 348 363 435 491 491 404 359 310 337 360 342 406 396 420 420
#> [127] 548 548 463 407 362 362 362 391 419 461 461 535 622 606 508 461 390 432
#> [145] 112 118 132 132 132 135 148 148 136 119 104 118 115 115 141 135 125 149
#> [163] 170 170 170 133 114 140 145 150 178 178 172 178 199 199 184 162 146 166
#> [181] 171 180 193 193 183 218 230 242 209 191 191 194 196 196 236 235 229 243
#> [199] 264 264 237 211 180 201 204 204 235 227 234 234 234 293 259 259 203 229
#> [217] 242 233 267 269 270 315 315 315 312 274 237 237 284 277 317 313 318 318
#> [235] 413 405 405 306 306 306 315 315 356 356 356 422 422 467 404 347 305 336
#> [253] 340 318 318 348 363 435 491 491 404 359 310 337 360 342 406 396 420 420
#> [271] 548 548 463 407 362 362 362 391 419 461 461 535 622 606 508 461 390 432
#> [289] 112 118 132 132 132 135 148 148 136 119 104 118 115 115 141 135 125 149
#> [307] 170 170 170 133 114 140 145 150 178 178 172 178 199 199 184 162 146 166
#> [325] 171 180 193 193 183 218 230 242 209 191 191 194 196 196 236 235 229 243
#> [343] 264 264 237 211 180 201 204 204 235 227 234 234 234 293 259 259 203 229
#> [361] 242 233 267 269 270 315 315 315 312 274 237 237 284 277 317 313 318 318
#> [379] 413 405 405 306 306 306 315 315 356 356 356 422 422 467 404 347 305 336
#> [397] 340 318 318 348 363 435 491 491 404 359 310 337 360 342 406 396 420 420
#> [415] 548 548 463 407 362 362 362 391 419 461 461 535 622 606 508 461 390 432
#> [433] 112 118 132 132 132 135 148 148 136 119 104 118 115 115 141 135 125 149
#> [451] 170 170 170 133 114 140 145 150 178 178 172 178 199 199 184 162 146 166
#>
# For an easy interpretation of kssa results
# please use function kssa_plot