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 | 
| Maintainer: | Hannah Frick <hannah at posit.co> | 
| BugReports: | https://github.com/tidymodels/rsample/issues | 
| License: | MIT + file LICENSE | 
| URL: | https://rsample.tidymodels.org, https://github.com/tidymodels/rsample | 
| NeedsCompilation: | no | 
| Materials: | README, NEWS | 
| In views: | Spatial | 
| CRAN checks: | rsample results | 
| Reference manual: | rsample.html , rsample.pdf | 
| Vignettes: | Common Resampling Patterns (source, R code) Working with resampling sets (source, R code) Introduction to rsample (source, R code) | 
| Package source: | rsample_1.3.1.tar.gz | 
| Windows binaries: | r-devel: rsample_1.3.1.zip, r-release: rsample_1.3.1.zip, r-oldrel: rsample_1.3.1.zip | 
| macOS binaries: | r-release (arm64): rsample_1.3.1.tgz, r-oldrel (arm64): rsample_1.3.1.tgz, r-release (x86_64): rsample_1.3.1.tgz, r-oldrel (x86_64): rsample_1.3.1.tgz | 
| Old sources: | rsample archive | 
| Reverse imports: | agua, autostats, baguette, embed, fastml, finnts, flowml, ivdesc, ldmppr, LLMAgentR, LorenzRegression, lvmisc, MachineShop, manydist, mintyr, MLDataR, MLwrap, modeltime.ensemble, modeltime.resample, mrIML, nzilbb.vowels, postcard, psfmi, quollr, sae.projection, sitar, spatialsample, spqdep, stabiliser, stacks, supersigs, survdnn, text, tidyAML, tidyclust, tidyfit, tidymodels, tidyposterior, tidysdm, timetk, tradeoffaucdim, trendeval, tune, viralmodels, workflowsets | 
| Reverse suggests: | BayesERtools, bnns, bonsai, broom, butcher, Cyclops, EZtune, finetune, functionals, healthyR.ai, healthyR.ts, kerasnip, marginaleffects, mikropml, modeltime, NHSRdatasets, offsetreg, probably, recipes, shapr, solitude, tabnet, tfdatasets, tidydann, tidytof, viralx, waywiser | 
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