General Resampling Infrastructure

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


rsample 0.0.2

  • initial_split, training, and testing were added to do training/testing splits prior to resampling.
  • Another resampling method, group_vfold_cv, was added.
  • caret2rsample and rsample2caret can convert rset objects to those used by caret::trainControl and vice-versa.
  • A function called form_pred can be used to determine the original names of the predictors in a formula or terms object.
  • A vignette and a function (prepper) were included to facilitate using the recipes with rsample.
  • A gather method was added for rset objects.
  • A labels method was added for rsplit objects. This can help identify which resample is being used even when the whole rset object is not available.
  • A variety of dplyr methods were added (e.g. filter, mutate, etc) that work without dropping classes or attributes of the rsample objects.

rsample 0.0.1 (2017-07-08)

Initial public version on CRAN

Reference manual

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0.0.4 by Max Kuhn, 9 days ago

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Browse source code at

Authors: Max Kuhn [aut, cre] , Hadley Wickham [aut] , RStudio [cph]

Documentation:   PDF Manual  

GPL-2 license

Imports dplyr, purrr, tibble, rlang, methods, generics

Depends on tidyr

Suggests ggplot2, testthat, rmarkdown, knitr, AmesHousing, recipes, broom

Imported by MachineShop, tidymodels, tidyposterior.

Suggested by broom, recipes.

See at CRAN