# General Resampling Infrastructure

## Documentation for package ‘rsample’ version 1.3.2

- DESCRIPTION file.
- Package NEWS.

## Help Pages

.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
analysis.default | Convert an 'rsplit' object to a data frame
analysis.rsplit | Convert an 'rsplit' object to a data frame
analysis.val_split | Create a Validation Split for Tuning
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
assessment.default | Convert an 'rsplit' object to a data frame
assessment.rsplit | Convert an 'rsplit' object to a data frame
assessment.val_split | Create a Validation Split for Tuning
bootstraps | Bootstrap Sampling
caret2rsample | Convert Resampling Objects to Other Formats
clustering_cv | Cluster Cross-Validation
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
form_pred | Extract Predictor Names from Formula or Terms
get_rsplit | Retrieve individual rsplits objects from an rset
get_rsplit.default | Retrieve individual rsplits objects from an rset
get_rsplit.rset | Retrieve individual rsplits objects from an rset
group_bootstraps | Group Bootstraps
group_initial_split | Simple Training/Test Set Splitting
group_initial_validation_split | Create an Initial Train/Validation/Test Split
group_mc_cv | Group Monte Carlo Cross-Validation
group_vfold_cv | Group V-Fold Cross-Validation
initial_split | Simple Training/Test Set Splitting
initial_time_split | Simple Training/Test Set Splitting
initial_validation_split | Create an Initial Train/Validation/Test Split
initial_validation_time_split | Create an Initial Train/Validation/Test Split
int_bca | Bootstrap confidence intervals
int_bca.bootstraps | Bootstrap confidence intervals
int_bca.default | Bootstrap confidence intervals
int_pctl | Bootstrap confidence intervals
int_pctl.bootstraps | Bootstrap confidence intervals
int_pctl.default | Bootstrap confidence intervals
int_t | Bootstrap confidence intervals
int_t.bootstraps | Bootstrap confidence intervals
int_t.default | 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
reshuffle_rset | "Reshuffle" an rset to re-generate a new rset with the same parameters
reverse_splits | Reverse the analysis and assessment sets
reverse_splits.default | Reverse the analysis and assessment sets
reverse_splits.permutations | Reverse the analysis and assessment sets
reverse_splits.perm_split | Reverse the analysis and assessment sets
reverse_splits.rset | Reverse the analysis and assessment sets
reverse_splits.rsplit | 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
sliding_index | Time-based Resampling
sliding_period | Time-based Resampling
sliding_window | Time-based Resampling
testing | Simple Training/Test Set Splitting
testing.default | Simple Training/Test Set Splitting
testing.initial_validation_split | Create an Initial Train/Validation/Test Split
testing.rsplit | Simple Training/Test Set Splitting
testing.val_split | Create a Validation Split for Tuning
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
training.default | Simple Training/Test Set Splitting
training.initial_validation_split | Create an Initial Train/Validation/Test Split
training.rsplit | Simple Training/Test Set Splitting
training.val_split | Create a Validation Split for Tuning
validation | Create an Initial Train/Validation/Test Split
validation.default | Create an Initial Train/Validation/Test Split
validation.initial_validation_split | Create an Initial Train/Validation/Test Split
validation.val_split | Create a Validation Split for Tuning
validation_set | Create a Validation Split for Tuning
vfold_cv | V-Fold Cross-Validation