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.

regRSM: Random Subspace Method (RSM) for Linear Regression

Performs Random Subspace Method (RSM) for high-dimensional linear regression to obtain variable importance measures. The final model is chosen based on validation set or Generalized Information Criterion.

Version: 0.5
Depends: R (≥ 3.0.0)
Imports: Rmpi, doParallel, parallel, foreach
Published: 2015-09-11
DOI: 10.32614/CRAN.package.regRSM
Author: Pawel Teisseyre, Robert A. Klopotek
Maintainer: Pawel Teisseyre <teisseyrep at ipipan.waw.pl>
License: LGPL-2 | LGPL-3 | GPL-2 | GPL-3
URL: http://www.ipipan.eu/~teisseyrep/SOFTWARE/
NeedsCompilation: no
CRAN checks: regRSM results

Documentation:

Reference manual: regRSM.pdf

Downloads:

Package source: regRSM_0.5.tar.gz
Windows binaries: r-devel: regRSM_0.5.zip, r-release: regRSM_0.5.zip, r-oldrel: regRSM_0.5.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available
Old sources: regRSM archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=regRSM 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.