rsample: General Resampling Infrastructure

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

Version:	1.1.0
Depends:	R (≥ 3.4)
Imports:	dplyr (≥ 1.0.0), ellipsis, furrr, generics, glue, methods, pillar, purrr, rlang (≥ 0.4.10), slider (≥ 0.1.5), tibble, tidyr, tidyselect, vctrs (≥ 0.3.0)
Suggests:	broom, covr, ggplot2, knitr, modeldata, recipes (≥ 0.1.4), rmarkdown, stats, testthat (≥ 3.0.0), utils, whisker, withr, xml2
Published:	2022-08-08
Author:	Julia Silge [aut, cre], Fanny Chow [aut], Max Kuhn [aut], Hadley Wickham [aut], RStudio [cph, fnd]
Maintainer:	Julia Silge <julia.silge at rstudio.com>
BugReports:	https://github.com/tidymodels/rsample/issues
License:	MIT + file LICENSE
URL:	https://rsample.tidymodels.org, https://github.com/tidymodels/rsample
NeedsCompilation:	no
Materials:	NEWS
In views:	Spatial
CRAN checks:	rsample results

Documentation:

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

Downloads:

Package source:	rsample_1.1.0.tar.gz
Windows binaries:	r-devel: rsample_1.1.0.zip, r-release: rsample_1.1.0.zip, r-oldrel: rsample_1.1.0.zip
macOS binaries:	r-release (arm64): rsample_1.1.0.tgz, r-oldrel (arm64): rsample_1.1.0.tgz, r-release (x86_64): rsample_1.1.0.tgz, r-oldrel (x86_64): rsample_1.1.0.tgz
Old sources:	rsample archive

Reverse dependencies:

Reverse imports:	autostats, baguette, embed, finnts, gesttools, haldensify, ivdesc, kmscv, lvmisc, MachineShop, MLDataR, modeltime.ensemble, modeltime.resample, psfmi, sitar, sknifedatar, spatialsample, SPOTMisc, spqdep, stabiliser, stacks, supersigs, text, tidymodels, tidyposterior, timetk, trendeval, tune, workboots, workflowsets
Reverse suggests:	bonsai, broom, butcher, EZtune, finetune, healthyR.ai, healthyR.ts, modeltime, NHSRdatasets, NMproject, probably, recipes, solitude, tfdatasets

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rsample to link to this page.