Classes and functions to create and summarize different types of resampling objects (e.g. bootstrap, cross-validation).
Version: 1.3.0 Depends: R (≥ 3.6) 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: 2025-04-02 DOI: 10.32614/CRAN.package.rsample Author: Hannah Frick [aut, cre], Fanny Chow [aut], Max Kuhn [aut], Michael Mahoney [aut], Julia Silge [aut], Hadley Wickham [aut], Posit Software, PBC [cph, fnd] 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 Documentation: Downloads: Reverse dependencies: Reverse imports: agua, autostats, baguette, embed, fastml, finnts, flowml, haldensify, ldmppr, LLMAgentR, LorenzRegression, lvmisc, MachineShop, manydist, mintyr, MLDataR, modeltime.ensemble, modeltime.resample, nzilbb.vowels, postcard, psfmi, quollr, sae.projection, sitar, spatialsample, spqdep, stabiliser, stacks, supersigs, text, tidyAML, tidyclust, tidyfit, tidymodels, tidyposterior, tidysdm, timetk, tradeoffaucdim, trendeval, tune, viralmodels, workflowsets Reverse suggests: BayesERtools, bnns, bonsai, broom, butcher, EZtune, finetune, healthyR.ai, healthyR.ts, marginaleffects, mikropml, modeltime, NHSRdatasets, offsetreg, probably, recipes, shapr, solitude, tabnet, tfdatasets, tidydann, tidytof, viralx, waywiser, workflows Linking:Please use the canonical form https://CRAN.R-project.org/package=rsample to link to this page.
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