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 ORCID iD [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:

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