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modeltime  

The Tidymodels Extension for Time Series Modeling
View on CRAN: Click here


Download and install modeltime package within the R console
Install from CRAN:
install.packages("modeltime")

Install from Github:
library("remotes")
install_github("cran/modeltime")

Install by package version:
library("remotes")
install_version("modeltime", "1.3.3")



Attach the package and use:
library("modeltime")
Maintained by
Matt Dancho
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-22
Latest Update: 2024-10-22
Description:
The time series forecasting framework for use with the 'tidymodels' ecosystem. Models include ARIMA, Exponential Smoothing, and additional time series models from the 'forecast' and 'prophet' packages. Refer to "Forecasting Principles & Practice, Second edition" (). Refer to "Prophet: forecasting at scale" (.).
How to cite:
Matt Dancho (2020). modeltime: The Tidymodels Extension for Time Series Modeling. R package version 1.3.3, https://cran.r-project.org/web/packages/modeltime. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.0.1 (2020-06-22 12:00), 0.0.2 (2020-07-03 22:10), 0.1.0 (2020-09-02 19:50), 0.2.0 (2020-09-28 14:40), 0.2.1 (2020-10-08 19:10), 0.3.0 (2020-10-28 15:00), 0.3.1 (2020-11-09 22:50), 0.4.0 (2020-11-23 09:50), 0.4.1 (2021-01-17 15:30), 0.4.2 (2021-03-19 06:20), 0.5.0 (2021-03-29 18:30), 0.5.1 (2021-04-03 16:40), 0.6.0 (2021-05-30 06:30), 0.6.1 (2021-06-13 14:20), 0.7.0 (2021-07-16 09:40), 1.0.0 (2021-09-14 20:10), 1.1.0 (2021-10-18 18:20), 1.1.1 (2022-01-12 17:22), 1.2.0 (2022-04-07 21:42), 1.2.1 (2022-06-01 09:20), 1.2.2 (2022-06-07 23:50), 1.2.3 (2022-10-18 14:52), 1.2.4 (2022-11-16 13:10), 1.2.5 (2023-02-07 20:32), 1.2.6 (2023-03-31 14:10), 1.2.7 (2023-07-03 17:10), 1.2.8 (2023-09-02 17:10), 1.3.0 (2024-07-29 19:30), 1.3.1 (2024-10-22 22:10), 1.3.2 (2025-08-29 01:40), 1.3.3 (2025-12-17 07:40)
Other packages that cited modeltime R package
View modeltime citation profile
Other R packages that modeltime depends, imports, suggests or enhances
Complete documentation for modeltime
Functions, R codes and Examples using the modeltime R package
Some associated functions: Adam_predict_impl . Arima_fit_impl . Arima_predict_impl . Auto_adam_predict_impl . adam_fit_impl . adam_params . adam_reg . add_modeltime_model . arima_boost . arima_params . arima_reg . arima_xgboost_fit_impl . arima_xgboost_predict_impl . auto_adam_fit_impl . auto_arima_fit_impl . auto_arima_xgboost_fit_impl . combine_modeltime_tables . control_modeltime . create_model_grid . create_xreg_recipe . croston_fit_impl . croston_predict_impl . dot_prepare_transform . drop_modeltime_model . ets_fit_impl . ets_predict_impl . exp_smoothing . exp_smoothing_params . get_arima_description . get_model_description . get_tbats_description . is_calibrated . is_modeltime_model . is_modeltime_table . is_residuals . load_namespace . log_extractors . m750 . m750_models . m750_splits . m750_training_resamples . maape . maape_vec . make_ts_splits . mdl_time_forecast . mdl_time_refit . metric_sets . modeltime_accuracy . modeltime_calibrate . modeltime_fit_workflowset . modeltime_forecast . modeltime_nested_fit . modeltime_nested_forecast . modeltime_nested_refit . modeltime_nested_select_best . modeltime_refit . modeltime_residuals . modeltime_residuals_test . modeltime_table . naive_fit_impl . naive_predict_impl . naive_reg . new_modeltime_bridge . nnetar_fit_impl . nnetar_params . nnetar_predict_impl . nnetar_reg . panel_tail . parallel_start . parse_index . pipe . plot_modeltime_forecast . plot_modeltime_residuals . pluck_modeltime_model . prep_nested . prophet_boost . prophet_fit_impl . prophet_params . prophet_predict_impl . prophet_reg . prophet_xgboost_fit_impl . prophet_xgboost_predict_impl . pull_modeltime_residuals . pull_parsnip_preprocessor . recipe_helpers . recursive . seasonal_reg . smooth_fit_impl . smooth_predict_impl . snaive_fit_impl . snaive_predict_impl . stlm_arima_fit_impl . stlm_arima_predict_impl . stlm_ets_fit_impl . stlm_ets_predict_impl . summarize_accuracy_metrics . table_modeltime_accuracy . tbats_fit_impl . tbats_predict_impl . temporal_hier_fit_impl . temporal_hier_predict_impl . temporal_hierarchy . temporal_hierarchy_params . theta_fit_impl . theta_predict_impl . tidyeval . time_series_params . type_sum.mdl_time_tbl . update_model_description . update_modeltime_model . window_function_fit_impl . window_function_predict_impl . window_reg . xgboost_impl . xgboost_predict . 
Some associated R codes: 00_global_variables.R . data.R . dev-constructor.R . dev-model_descriptions.R . dev-parse_index.R . dev-xregs.R . dials-adam_params.R . dials-arima_params.R . dials-ets_params.R . dials-nnetar_params.R . dials-prophet_params.R . dials-temporal_hierarchy_params.R . dials-ts_params.R . helpers-modeltime_residuals.R . helpers-modeltime_table.R . modeltime-accuracy-table.R . modeltime-accuracy.R . modeltime-calibrate.R . modeltime-fit-workflowset.R . modeltime-forecast-plot.R . modeltime-forecast.R . modeltime-recursive.R . modeltime-refit.R . modeltime-residuals-plot.R . modeltime-residuals-tests.R . modeltime-residuals.R . modeltime-table.R . nested-modeltime-forecast.R . nested-modeltime_data_prep.R . nested-modeltime_extractors.R . nested-modeltime_fit.R . nested-modeltime_refit.R . nested-modeltime_select_best.R . parsnip-adam.R . parsnip-adam_data.R . parsnip-arima_boost.R . parsnip-arima_boost_data.R . parsnip-arima_reg.R . parsnip-arima_reg_data.R . parsnip-exp_smoothing.R . parsnip-exp_smoothing_data.R . parsnip-naive_reg.R . parsnip-naive_reg_data.R . parsnip-nnetar_reg.R . parsnip-nnetar_reg_data.R . parsnip-prophet_boost.R . parsnip-prophet_boost_data.R . parsnip-prophet_reg.R . parsnip-prophet_reg_data.R . parsnip-seasonal_reg.R . parsnip-seasonal_reg_data.R . parsnip-temporal_hierarchy.R . parsnip-temporal_hierarchy_data.R . parsnip-window_reg.R . parsnip-window_reg_data.R . tibble-type_sum.R . utils-checks-validations.R . utils-control-par.R . utils-is_modeltime.R . utils-make_grouped_predictions.R . utils-parsnip-helpers.R . utils-pipe.R . utils-tidy-eval.R . utils-xgboost.R . yardstick-metric-sets.R . zzz.R .  Full modeltime package functions and examples
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