General Resampling Infrastructure

---

Documentation for package ‘rsample’ version 1.2.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• 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_pctl	Bootstrap confidence intervals
int_pctl.bootstraps	Bootstrap confidence intervals
int_t	Bootstrap confidence intervals
int_t.bootstraps	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