add_index |
Adds a sequential index column to a data frame |
arima_string |
Print the ARIMA model parameters |
bats_string |
Print the BATS model parameters |
bike_sales |
Fictional sales data for bike shops purchasing Cannondale bikes |
sweep_package |
sweep: Extending broom to time series forecasting |
sw_augment |
Augment data according to a tidied model |
sw_augment.Arima |
Tidying methods for ARIMA modeling of time series |
sw_augment.bats |
Tidying methods for BATS and TBATS modeling of time series |
sw_augment.default |
Default augment method |
sw_augment.ets |
Tidying methods for ETS (Error, Trend, Seasonal) exponential smoothing modeling of time series |
sw_augment.HoltWinters |
Tidying methods for HoltWinters modeling of time series |
sw_augment.nnetar |
Tidying methods for Nural Network Time Series models |
sw_augment.stlm |
Tidying methods for STL (Seasonal, Trend, Level) decomposition of time series |
sw_augment.StructTS |
Tidying methods for StructTS (Error, Trend, Seasonal) / exponential smoothing modeling of time series |
sw_augment_columns |
Augments data |
sw_glance |
Construct a single row summary "glance" of a model, fit, or other object |
sw_glance.Arima |
Tidying methods for ARIMA modeling of time series |
sw_glance.bats |
Tidying methods for BATS and TBATS modeling of time series |
sw_glance.default |
Default glance method |
sw_glance.ets |
Tidying methods for ETS (Error, Trend, Seasonal) exponential smoothing modeling of time series |
sw_glance.HoltWinters |
Tidying methods for HoltWinters modeling of time series |
sw_glance.nnetar |
Tidying methods for Nural Network Time Series models |
sw_glance.stlm |
Tidying methods for STL (Seasonal, Trend, Level) decomposition of time series |
sw_glance.StructTS |
Tidying methods for StructTS (Error, Trend, Seasonal) / exponential smoothing modeling of time series |
sw_sweep |
Tidy forecast objects |
sw_tidy |
Tidy the result of a time-series model into a summary tibble |
sw_tidy.Arima |
Tidying methods for ARIMA modeling of time series |
sw_tidy.bats |
Tidying methods for BATS and TBATS modeling of time series |
sw_tidy.default |
Default tidying method |
sw_tidy.ets |
Tidying methods for ETS (Error, Trend, Seasonal) exponential smoothing modeling of time series |
sw_tidy.HoltWinters |
Tidying methods for HoltWinters modeling of time series |
sw_tidy.nnetar |
Tidying methods for Nural Network Time Series models |
sw_tidy.stl |
Tidying methods for STL (Seasonal, Trend, Level) decomposition of time series |
sw_tidy.stlm |
Tidying methods for ARIMA modeling of time series |
sw_tidy.StructTS |
Tidying methods for StructTS (Error, Trend, Seasonal) / exponential smoothing modeling of time series |
sw_tidy_decomp |
Coerces decomposed time-series objects to tibble format. |
sw_tidy_decomp.bats |
Tidying methods for BATS and TBATS modeling of time series |
sw_tidy_decomp.decomposed.ts |
Tidying methods for decomposed time series |
sw_tidy_decomp.ets |
Tidying methods for ETS (Error, Trend, Seasonal) exponential smoothing modeling of time series |
sw_tidy_decomp.HoltWinters |
Tidying methods for HoltWinters modeling of time series |
sw_tidy_decomp.stl |
Tidying methods for STL (Seasonal, Trend, Level) decomposition of time series |
sw_tidy_decomp.stlm |
Tidying methods for STL (Seasonal, Trend, Level) decomposition of time series |
tbats_string |
Print the TBATS model parameters |
tidiers_arima |
Tidying methods for ARIMA modeling of time series |
tidiers_bats |
Tidying methods for BATS and TBATS modeling of time series |
tidiers_decomposed_ts |
Tidying methods for decomposed time series |
tidiers_ets |
Tidying methods for ETS (Error, Trend, Seasonal) exponential smoothing modeling of time series |
tidiers_HoltWinters |
Tidying methods for HoltWinters modeling of time series |
tidiers_nnetar |
Tidying methods for Nural Network Time Series models |
tidiers_stl |
Tidying methods for STL (Seasonal, Trend, Level) decomposition of time series |
tidiers_StructTS |
Tidying methods for StructTS (Error, Trend, Seasonal) / exponential smoothing modeling of time series |
validate_index |
Validates data frame has column named the same name as variable rename_index |