| automagic_tabs | Automatic Generation of Tabs |
| automagic_tabs2 | Automatic Generation of Tabs with multiple outputs |
| crimes | Buenos Aires crimes data |
| data_avellaneda | Vehicle flow through Avellaneda toll in Ciudad Autonoma de Buenos Aires, Argentina. |
| data_crime_clime | Corners of the city of Buenos Aires |
| data_longer_crime | Corners of the city of Buenos Aires with meteorological and environmental factors |
| emae_series | Time series of the monthly estimator of Argentine economic activity, grouped by sector |
| insert_na | Add NA values to a dataframe |
| intercepcion_calles | Dataset of the intersection of the main streets and avenues of the city of Buenos Aires, Argentina. |
| modeltime_multibestmodel | Gets the best model from a modeltime table |
| modeltime_multifit | Fit Multiple Models to Multiple Time Series |
| modeltime_multiforecast | Forecasting of multiple models over multiple time series |
| modeltime_multirefit | Refit the model or models for multiple time series |
| modeltime_wfs_bestmodel | Modeltime best workflow from a set of models |
| modeltime_wfs_fit | Modeltime workflowsets fit |
| modeltime_wfs_forecast | Modeltime workflow sets forecast |
| modeltime_wfs_heatmap | Modeltime workflowsets heatmap plot |
| modeltime_wfs_multibestmodel | Get the best workflow for each time series |
| modeltime_wfs_multifit | Fit a workflow_set object over multiple time series |
| modeltime_wfs_multiforecast | Forecast of a workflow set on multiple time series |
| modeltime_wfs_multirefit | Refit one or more trained workflows to new data |
| modeltime_wfs_rank | Modeltime workflow sets ranking based on a metric |
| modeltime_wfs_refit | Modeltime workflow sets refit |
| multieval | Evaluation of multiple metrics and predictions |
| sliding_window | Mobile sliding window transformation |
| table_time | Fitted models for the EMAE indicator |