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-devel (arm64): not available, r-release (arm64): not available, r-oldrel (arm64): not available, r-devel (x86_64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available
Old sources:	regRSM archive

Linking:

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