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