purge: Purge Training Data from Models

Enables the removal of training data from fitted R models while retaining predict functionality. The purged models are more portable as their memory footprints do not scale with the training sample size.

Version:	0.2.1
Imports:	methods
Suggests:	testthat, survival, lme4 (≥ 1.1-8), ranger, randomForest, rpart
Published:	2017-02-12
Author:	Marc Maier [cre], Chaoqun Jia [ctb], MassMutual Advanced Analytics [aut] (http://datascience.massmutual.com)
Maintainer:	Marc Maier <mmaier at massmutual.com>
License:	MIT + file LICENSE
NeedsCompilation:	no
Materials:	README
CRAN checks:	purge results

Documentation:

Reference manual:

purge.pdf

Downloads:

Package source:	purge_0.2.1.tar.gz
Windows binaries:	r-devel: purge_0.2.1.zip, r-release: purge_0.2.1.zip, r-oldrel: purge_0.2.1.zip
macOS binaries:	r-release (arm64): purge_0.2.1.tgz, r-oldrel (arm64): purge_0.2.1.tgz, r-release (x86_64): purge_0.2.1.tgz, r-oldrel (x86_64): purge_0.2.1.tgz
Old sources:	purge archive

Linking:

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