| 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 |