⚠️There's a newer version (1.2.1) of this package.Take me there.

rsample (version 0.0.5)

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

60,681

Version

0.0.5

License

GPL-2

Maintainer

Max Kuhn

Last Published

July 12th, 2019

Functions in rsample (0.0.5)

initial_split

Simple Training/Test Set Splitting

make_strata

Create or Modify Stratification Variables

rolling_origin

Rolling Origin Forecast Resampling

reexports

Objects exported from other packages

loo_cv

Leave-One-Out Cross-Validation

two_class_dat

Two Class Data

int_pctl

Bootstrap confidence intervals

tidy.rsplit

Tidy Resampling Object

group_vfold_cv

Group V-Fold Cross-Validation

pretty.vfold_cv

Short Decriptions of rsets

populate

Add Assessment Indicies

nested_cv

Nested or Double Resampling

vfold_cv

V-Fold Cross-Validation

mc_cv

Monte Carlo Cross-Validation

rsample

rsample: General Resampling Infrastructure for R

labels.rset

Find Labels from rset Object

labels.rsplit

Find Labels from rsplit Object

rsample2caret

Convert Resampling Objects to Other Formats

gather.rset

Gather an rset Object

add_resample_id

Augment a data set with resampling identifiers

apparent

Sampling for the Apparent Error Rate

bootstraps

Bootstrap Sampling

complement

Determine the Assessment Samples

as.data.frame.rsplit

Convert an rsplit object to a data frame

attrition

Job Attrition

drinks

Sample Time Series Data

form_pred

Extract Predictor Names from Formula or Terms