Package: purge 0.2.1

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.

Authors:Marc Maier [cre], Chaoqun Jia [ctb], MassMutual Advanced Analytics [aut]

purge_0.2.1.tar.gz
purge_0.2.1.zip(r-4.5)purge_0.2.1.zip(r-4.4)purge_0.2.1.zip(r-4.3)
purge_0.2.1.tgz(r-4.4-any)purge_0.2.1.tgz(r-4.3-any)
purge_0.2.1.tar.gz(r-4.5-noble)purge_0.2.1.tar.gz(r-4.4-noble)
purge_0.2.1.tgz(r-4.4-emscripten)purge_0.2.1.tgz(r-4.3-emscripten)
purge.pdf |purge.html
purge/json (API)

# Install 'purge' in R:
install.packages('purge', repos = c('https://maiermarc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.48 score 6 scripts 160 downloads 6 mentions 1 exports 0 dependencies

Last updated 8 years agofrom:cdc9961909. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-winOKNov 13 2024
R-4.5-linuxOKNov 13 2024
R-4.4-winOKNov 13 2024
R-4.4-macOKNov 13 2024
R-4.3-winOKNov 13 2024
R-4.3-macOKNov 13 2024

Exports:purge

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Purge training data from a modelpurge purge.coxph purge.default purge.glm purge.glmerMod purge.lm purge.merMod purge.randomForest purge.ranger purge.rpart