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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 |
| Reference manual: | regRSM.pdf |
| 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 |
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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.