| .get_fingerprint | Obtain a identifier for the resamples |
| .get_fingerprint.default | Obtain a identifier for the resamples |
| .get_fingerprint.rset | Obtain a identifier for the resamples |
| add_resample_id | Augment a data set with resampling identifiers |
| analysis | Convert an 'rsplit' object to a data frame |
| apparent | Sampling for the Apparent Error Rate |
| as.data.frame.rsplit | Convert an 'rsplit' object to a data frame |
| assessment | Convert an 'rsplit' object to a data frame |
| attrition | Job Attrition |
| bootstraps | Bootstrap Sampling |
| caret2rsample | Convert Resampling Objects to Other Formats |
| complement | Determine the Assessment Samples |
| complement.apparent_split | Determine the Assessment Samples |
| complement.rof_split | Determine the Assessment Samples |
| complement.rsplit | Determine the Assessment Samples |
| complement.sliding_index_split | Determine the Assessment Samples |
| complement.sliding_period_split | Determine the Assessment Samples |
| complement.sliding_window_split | Determine the Assessment Samples |
| drinks | Sample Time Series Data |
| form_pred | Extract Predictor Names from Formula or Terms |
| group_vfold_cv | Group V-Fold Cross-Validation |
| initial_split | Simple Training/Test Set Splitting |
| initial_time_split | Simple Training/Test Set Splitting |
| int_bca | Bootstrap confidence intervals |
| int_pctl | Bootstrap confidence intervals |
| int_t | Bootstrap confidence intervals |
| labels.rset | Find Labels from rset Object |
| labels.rsplit | Find Labels from rsplit Object |
| labels.vfold_cv | Find Labels from rset Object |
| loo_cv | Leave-One-Out Cross-Validation |
| make_splits | Constructors for split objects |
| make_splits.data.frame | Constructors for split objects |
| make_splits.default | Constructors for split objects |
| make_splits.list | 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 |
| rolling_origin | Rolling Origin Forecast Resampling |
| rsample | rsample: General Resampling Infrastructure for R |
| 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 |
| sliding_index | Time-based Resampling |
| sliding_period | Time-based Resampling |
| sliding_window | Time-based Resampling |
| testing | Simple Training/Test Set Splitting |
| tidy.nested_cv | Tidy Resampling Object |
| tidy.rset | Tidy Resampling Object |
| tidy.rsplit | Tidy Resampling Object |
| tidy.vfold_cv | Tidy Resampling Object |
| training | Simple Training/Test Set Splitting |
| two_class_dat | Two Class Data |
| validation_split | Create a Validation Set |
| validation_time_split | Create a Validation Set |
| vfold_cv | V-Fold Cross-Validation |