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.
Package details |
|
---|---|
Maintainer | |
License | GPL-3 |
Version | 0.0.1 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.