Other packages > Find by keyword >

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 05 Mar. 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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  
imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
ClimClass  
Climate Classification According to Several Indices
Classification of climate according to Koeppen - Geiger, of aridity indices, of continentality indi ...
Download / Learn more Package Citations See dependency  
neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency  
pinp  
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA