rsample: General Resampling Infrastructure

Classes and functions to create and summarize different types of resampling objects (e.g. bootstrap, cross-validation).

Version: 1.2.1
Depends: R (≥ 3.6)
Imports: cli, dplyr (≥ 1.1.1), furrr, generics, glue, lifecycle, methods, pillar, purrr (≥ 1.0.0), rlang (≥ 0.4.10), slider (≥ 0.1.5), tibble, tidyr, tidyselect, vctrs (≥ 0.5.0)
Suggests: broom, covr, ggplot2, knitr, modeldata, recipes (≥ 0.1.4), rmarkdown, stats, testthat (≥ 3.0.0), utils, whisker, withr, xml2
Published: 2024-03-25
DOI: 10.32614/CRAN.package.rsample
Author: Hannah Frick ORCID iD [aut, cre], Fanny Chow [aut], Max Kuhn [aut], Michael Mahoney ORCID iD [aut], Julia Silge ORCID iD [aut], Hadley Wickham [aut], Posit Software, PBC [cph, fnd]
Maintainer: Hannah Frick <hannah at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
In views: Spatial
CRAN checks: rsample results


Reference manual: rsample.pdf
Vignettes: Common Resampling Patterns
Working with resampling sets
Introduction to rsample


Package source: rsample_1.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): rsample_1.2.1.tgz, r-oldrel (arm64): rsample_1.2.1.tgz, r-release (x86_64): rsample_1.2.1.tgz, r-oldrel (x86_64): rsample_1.2.1.tgz
Old sources: rsample archive

Reverse dependencies:

Reverse imports: agua, autostats, baguette, embed, finnts, flowml, gesttools, haldensify, ivdesc, lvmisc, MachineShop, MLDataR, modeltime.resample, nestedmodels, psfmi, quollr, sitar, spatialsample, stabiliser, stacks, supersigs, text, tidyAML, tidyclust, tidyfit, tidymodels, tidyposterior, tidysdm, timetk, trendeval, tune, viralmodels, viralx, workflowsets
Reverse suggests: bonsai, broom, butcher, EZtune, finetune,, healthyR.ts, marginaleffects, mikropml, modeltime, NHSRdatasets, offsetreg, probably, recipes, solitude, tabnet, tfdatasets, tidydann, waywiser


Please use the canonical form to link to this page.