rsample: General Resampling Infrastructure (original) (raw)

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

Version: 1.3.1
Depends: R (≥ 4.1)
Imports: cli, dplyr (≥ 1.1.1), furrr, generics, glue, lifecycle, methods, pillar, purrr (≥ 1.0.0), rlang (≥ 1.1.0), 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: 2025-07-29
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 ROR ID [cph, fnd]
Maintainer: Hannah Frick
BugReports: https://github.com/tidymodels/rsample/issues
License: MIT + file
URL: https://rsample.tidymodels.org,https://github.com/tidymodels/rsample
NeedsCompilation: no
Materials: README, NEWS
In views: Spatial
CRAN checks: rsample results

Documentation:

Downloads:

Reverse dependencies:

Reverse imports: agua, autostats, baguette, embed, fastml, finnts, flowml, ivdesc, ldmppr, LLMAgentR, LorenzRegression, lvmisc, MachineShop, manydist, mintyr, MLDataR, MLwrap, modeltime.ensemble, modeltime.resample, mrIML, postcard, psfmi, quollr, roclab, sae.projection, sitar, spatialsample, spqdep, stabiliser, stacks, supersigs, survdnn, text, tidyAML, tidyclust, tidyfit, tidymodels, tidyposterior, tidysdm, tidysynthesis, timetk, trendeval, tune, viralmodels, workflowsets
Reverse suggests: BayesERtools, bnns, bonsai, broom, butcher, Cyclops, EZtune, finetune, functionals, healthyR.ai, healthyR.ts, kerasnip, marginaleffects, mikropml, modeltime, modeltuning, NHSRdatasets, offsetreg, probably, recipes, shapr, solitude, tabnet, tfdatasets, tidydann, vetiver, viralx, waywiser

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