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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.
Getting started
Browse package contents
Package details |
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| Author | Pawel Teisseyre, Robert A. Klopotek |
| Maintainer | Pawel Teisseyre <teisseyrep@ipipan.waw.pl> |
| License | LGPL-2 | LGPL-3 | GPL-2 | GPL-3 |
| Version | 0.5 |
| URL | http://www.ipipan.eu/~teisseyrep/SOFTWARE/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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