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.


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Reference manual

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install.packages("modeltime.resample")

0.2.0 by Matt Dancho, 2 months ago


https://github.com/business-science/modeltime.resample


Report a bug at https://github.com/business-science/modeltime.resample/issues


Browse source code at https://github.com/cran/modeltime.resample


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