modeltime.resample: 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.

Version:	0.3.0
Depends:	modeltime (≥ 0.3.0), R (≥ 3.5)
Imports:	tune (≥ 2.0.0), rsample, workflows, recipes, yardstick, timetk (≥ 2.5.0), tibble, dplyr (≥ 1.0.0), tidyr, purrr, stringr, ggplot2 (≥ 3.4.0), plotly, cli, magrittr, rlang (≥ 0.1.2), progressr, tictoc, hardhat, withr
Suggests:	testthat, tidymodels, tidyquant, glmnet, lubridate, knitr, rmarkdown
Published:	2025-09-03
DOI:	10.32614/CRAN.package.modeltime.resample
Author:	Matt Dancho [aut, cre], Business Science [cph]
Maintainer:	Matt Dancho <mdancho at business-science.io>
BugReports:	https://github.com/business-science/modeltime.resample/issues
License:	MIT + file LICENSE
URL:	https://business-science.github.io/modeltime.resample/, https://github.com/business-science/modeltime.resample
NeedsCompilation:	no
Materials:	README, NEWS
In views:	TimeSeries
CRAN checks:	modeltime.resample results

Documentation:

Reference manual:	modeltime.resample.html , modeltime.resample.pdf
Vignettes:	Getting Started with Modeltime Resample (source, R code) Resampling Panel Data (source, R code)

Downloads:

Package source:	modeltime.resample_0.3.0.tar.gz
Windows binaries:	r-devel: modeltime.resample_0.3.0.zip, r-release: modeltime.resample_0.3.0.zip, r-oldrel: modeltime.resample_0.3.0.zip
macOS binaries:	r-release (arm64): modeltime.resample_0.3.0.tgz, r-oldrel (arm64): modeltime.resample_0.3.0.tgz, r-release (x86_64): modeltime.resample_0.3.0.tgz, r-oldrel (x86_64): modeltime.resample_0.3.0.tgz
Old sources:	modeltime.resample archive

Reverse dependencies:

Reverse depends:	modeltime.ensemble
Reverse suggests:	LLMAgentR

Linking:

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