Learn R Programming
⚠️There's a newer version (1.3.2) of this package.Take me there.

rsample (version 0.0.6)

General Resampling Infrastructure

Description

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

Copy Link

Version

Install

install.packages('rsample')

Monthly Downloads

54,002

Version

0.0.6

License

GPL-2

Issues

34

Pull Requests

0

Stars

340

Forks

68

Maintainer

Max Kuhn

Last Published

March 31st, 2020

Functions in rsample (0.0.6)

complement

Determine the Assessment Samples
bootstraps

Bootstrap Sampling
as.data.frame.rsplit

Convert an rsplit object to a data frame
nested_cv

Nested or Double Resampling
form_pred

Extract Predictor Names from Formula or Terms
make_strata

Create or Modify Stratification Variables
drinks

Sample Time Series Data
new_rset

Constructor for new rset objects
gather.rset

Gather an rset Object
populate

Add Assessment Indicies
mc_cv

Monte Carlo Cross-Validation
add_resample_id

Augment a data set with resampling identifiers
attrition

Job Attrition
rsample

rsample: General Resampling Infrastructure for R
rsample2caret

Convert Resampling Objects to Other Formats
apparent

Sampling for the Apparent Error Rate
labels.rset

Find Labels from rset Object
group_vfold_cv

Group V-Fold Cross-Validation
int_pctl

Bootstrap confidence intervals
validation_split

Create a Validation Set
initial_split

Simple Training/Test Set Splitting
vfold_cv

V-Fold Cross-Validation
labels.rsplit

Find Labels from rsplit Object
pretty.vfold_cv

Short Decriptions of rsets
tidy.rsplit

Tidy Resampling Object
loo_cv

Leave-One-Out Cross-Validation
make_splits

Constructor for split objects
rolling_origin

Rolling Origin Forecast Resampling
reexports

Objects exported from other packages
two_class_dat

Two Class Data