The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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 |
| DOI: | 10.32614/CRAN.package.purge |
| 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 |
| Reference manual: | purge.pdf |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=purge to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.