Resampling Tools for Time Series Forecasting

A 'modeltime' extension that implements forecast resampling tools that assess time-based model performance and stability for a single time series, panel data, and cross-sectional time series analysis.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.2.0 by Matt Dancho, 2 months ago

Report a bug at

Browse source code at

Authors: Matt Dancho [aut, cre] , Business Science [cph]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports tune, rsample, workflows, parsnip, recipes, dials, yardstick, timetk, tibble, dplyr, tidyr, purrr, forcats, glue, stringr, ggplot2, plotly, cli, crayon, magrittr, rlang, progressr, tictoc

Depends on modeltime

Suggests roxygen2, testthat, tidymodels, tidyverse, tidyquant, glmnet, lubridate, knitr, rmarkdown, covr, remotes

Imported by healthyR.ts.

Depended on by modeltime.ensemble.

See at CRAN