jrnold/resamplr: Resampling methods

Additional resampling methods for the 'resampler' class in the 'modelr' package. Resampling and similar methods implemented include: bootstrap methods (simple bootstrap, weighted bootstrap, balanced bootstrap, moving-blocks bootstrap), test-training splits, cross-validation (leave-one-out, leave-p-out, k-fold, time-series k-fold, time series rolling windows), jackknife (delete-one and delete-p), permutations, and rolling windows. These are implemented as generic functions which include a grouped data method that implements group-wise or stratified versions of all the above.

Getting started

Package details

Maintainer
LicenseGPL-3
Version0.0.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("jrnold/resamplr")
jrnold/resamplr documentation built on May 20, 2019, 1:05 a.m.