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rsample (version 0.1.1)

General Resampling Infrastructure

Description

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

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Install

install.packages('rsample')

Monthly Downloads

55,286

Version

0.1.1

License

MIT + file LICENSE

Issues

35

Pull Requests

0

Stars

340

Forks

65

Maintainer

Julia Silge

Last Published

November 8th, 2021

Functions in rsample (0.1.1)

bootstraps

Bootstrap Sampling
.get_fingerprint

Obtain a identifier for the resamples
add_resample_id

Augment a data set with resampling identifiers
drinks

Sample Time Series Data
complement

Determine the Assessment Samples
as.data.frame.rsplit

Convert an rsplit object to a data frame
form_pred

Extract Predictor Names from Formula or Terms
gather.rset

Gather an rset Object
apparent

Sampling for the Apparent Error Rate
int_pctl

Bootstrap confidence intervals
manual_rset

Manual resampling
pretty.vfold_cv

Short Descriptions of rsets
rsample2caret

Convert Resampling Objects to Other Formats
reexports

Objects exported from other packages
nested_cv

Nested or Double Resampling
new_rset

Constructor for new rset objects
labels.rset

Find Labels from rset Object
permutations

Permutation sampling
mc_cv

Monte Carlo Cross-Validation
populate

Add Assessment Indices
rset_reconstruct

Extending rsample with new rset subclasses
attrition

Job Attrition
make_strata

Create or Modify Stratification Variables
make_splits

Constructors for split objects
labels.rsplit

Find Labels from rsplit Object
group_vfold_cv

Group V-Fold Cross-Validation
initial_split

Simple Training/Test Set Splitting
loo_cv

Leave-One-Out Cross-Validation
rsample-dplyr

Compatibility with dplyr
rsample

rsample: General Resampling Infrastructure for R
vfold_cv

V-Fold Cross-Validation
tidy.rsplit

Tidy Resampling Object
slide-resampling

Time-based Resampling
rolling_origin

Rolling Origin Forecast Resampling
reg_intervals

A convenience function for confidence intervals with linear-ish parametric models
two_class_dat

Two Class Data
validation_split

Create a Validation Set