rsample: General Resampling Infrastructure

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

Version: 0.1.0
Depends: R (≥ 3.2)
Imports: dplyr (≥ 1.0.0), purrr, tibble, rlang (≥ 0.4.10), methods, generics, tidyselect, furrr, tidyr, vctrs (≥ 0.3.0), slider (≥ 0.1.5), ellipsis, lifecycle
Suggests: utils, stats, ggplot2, testthat, rmarkdown, knitr, recipes (≥ 0.1.4), broom, xml2, covr, modeldata
Published: 2021-05-08
Author: Julia Silge ORCID iD [aut, cre], Fanny Chow [aut], Max Kuhn [aut], Hadley Wickham [aut], RStudio [cph]
Maintainer: Julia Silge <julia.silge at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: NEWS
CRAN checks: rsample results


Reference manual: rsample.pdf
Vignettes: Working with rsets
Introduction to rsample
Package source: rsample_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): rsample_0.1.0.tgz, r-release (x86_64): rsample_0.1.0.tgz, r-oldrel: rsample_0.1.0.tgz
Old sources: rsample archive

Reverse dependencies:

Reverse imports: baguette, embed, gesttools, ivdesc, lvmisc, MachineShop, modeltime.ensemble, modeltime.resample, psfmi, sitar, sknifedatar, spatialsample, stacks, supersigs, text, tidymodels, tidyposterior, timetk, trendeval, tune, workflowsets
Reverse suggests: broom, butcher, finetune, healthyR.ts, modeltime, NHSRdatasets, probably, recipes, tfdatasets


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