rsample1.2.1 package

General Resampling Infrastructure

reverse_splits

Reverse the analysis and assessment sets

rolling_origin

Rolling Origin Forecast Resampling

rsample-dplyr

Compatibility with dplyr

rsample-package

rsample: General Resampling Infrastructure

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

validation_split

Create a Validation Set

vfold_cv

V-Fold Cross-Validation

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_fingerprint

Obtain a identifier for the resamples

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_groups

Make groupings for grouped rsplits

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

new_rset

Constructor for new rset objects

permutations

Permutation sampling

populate

Add Assessment Indices

reexports

Objects exported from other packages

reg_intervals

A convenience function for confidence intervals with linear-ish parame...

reshuffle_rset

"Reshuffle" an rset to re-generate a new rset with the same parameters

Classes and functions to create and summarize different types of resampling objects (e.g. bootstrap, cross-validation).

  • Maintainer: Hannah Frick
  • License: MIT + file LICENSE
  • Last published: 2024-03-25