Package index • rsample

Resampling methods
`initial_split()` `initial_time_split()` `training()` `testing()` `group_initial_split()`	Simple Training/Test Set Splitting
`initial_validation_split()` `initial_validation_time_split()` `group_initial_validation_split()` `training(<initial_validation_split>)` `testing(<initial_validation_split>)` `validation()`	Create an Initial Train/Validation/Test Split
`validation_set()` `analysis(<val_split>)` `assessment(<val_split>)` `training(<val_split>)` `validation(<val_split>)` `testing(<val_split>)`	Create a Validation Split for Tuning
`bootstraps()`	Bootstrap Sampling
`group_bootstraps()`	Group Bootstraps
`vfold_cv()`	V-Fold Cross-Validation
`group_vfold_cv()`	Group V-Fold Cross-Validation
`mc_cv()`	Monte Carlo Cross-Validation
`group_mc_cv()`	Group Monte Carlo Cross-Validation
`clustering_cv()`	Cluster Cross-Validation
`nested_cv()`	Nested or Double Resampling
`loo_cv()`	Leave-One-Out Cross-Validation
`rolling_origin()`	Rolling Origin Forecast Resampling
`sliding_window()` `sliding_index()` `sliding_period()`	Time-based Resampling
`apparent()`	Sampling for the Apparent Error Rate
`permutations()`	Permutation sampling
`manual_rset()`	Manual resampling
Analysis
`int_pctl()` `int_t()` `int_bca()`	Bootstrap confidence intervals
`reg_intervals()`	A convenience function for confidence intervals with linear-ish parametric models
Utilities
`.get_fingerprint()`	Obtain a identifier for the resamples
`as.data.frame(<rsplit>)` `analysis()` `assessment()`	Convert an `rsplit` object to a data frame
`add_resample_id()`	Augment a data set with resampling identifiers
`complement()`	Determine the Assessment Samples
`form_pred()`	Extract Predictor Names from Formula or Terms
`get_rsplit()`	Retrieve individual rsplits objects from an rset
`labels(<rset>)` `labels(<vfold_cv>)`	Find Labels from rset Object
`labels(<rsplit>)`	Find Labels from rsplit Object
`make_splits()`	Constructors for split objects
`make_strata()`	Create or Modify Stratification Variables
`populate()`	Add Assessment Indices
`reshuffle_rset()`	"Reshuffle" an rset to re-generate a new rset with the same parameters
`reverse_splits()`	Reverse the analysis and assessment sets
`rsample2caret()` `caret2rsample()`	Convert Resampling Objects to Other Formats
`rset_reconstruct()`	Extending rsample with new rset subclasses
`tidy(<rsplit>)` `tidy(<rset>)` `tidy(<vfold_cv>)` `tidy(<nested_cv>)`	Tidy Resampling Object
Compatibility
`rsample-dplyr`	Compatibility with dplyr

Reference

Resampling methods

Analysis

Utilities

Compatibility