In jrnold/ramsleep: Resampling, Cross-Validation, and Permutation Methods Infrastucture

knitr::opts_chunk$set(collapse = TRUE, comment = "#>")

ramsleep

The ramsleep package provides functions that implement resampling methods including the bootstrap, jackknife, random test/train sets, k-fold cross-validation, leave-one-out and leave-p-out cross-validation, time-series cross validation, time-series k-fold cross validation, permutations, rolling windows.

Comparison to Other Packages

This is similar in approach to modelr functions bootstrap and crossv_kfold, and the rsample package. However, both of those packages only work with data frames.

The functions in this package are lower-level. The functions in this package take single integer representing the number of items to sample from, and return lists of integers representing the indexes in each sample. These indexes can be applied to any type of object, or used to build higher level functions like those in modelr or rsample.

Installation

ramsleep is not on CRAN. You can install the development version with

# install.packages("devtools")
devtools::install_github("jrnold/ramsleep")

Code of Conduct

Please note that the 'ramsleep' project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

jrnold/ramsleep documentation built on May 29, 2019, 11:43 a.m.