Model selection algorithms for regression and classification, where the predictors can be numerical and categorical and the number of regressors exceeds the number of observations. The selected model consists of a subset of numerical regressors and partitions of levels of factors. Aleksandra Maj-Kańska, Piotr Pokarowski and Agnieszka Prochenka (2015) <doi:10.1214/15-EJS1050>. Piotr Pokarowski and Jan Mielniczuk (2015) <http://www.jmlr.org/papers/volume16/pokarowski15a/pokarowski15a.pdf>.
| Version: | 0.2.0 |
| Imports: | glmnet, grpreg, stats, graphics, utils |
| Published: | 2018-03-24 |
| Author: | Agnieszka Prochenka-Sołtys, Piotr Pokarowski |
| Maintainer: | Agnieszka Prochenka-Sołtys <ap220756 at mimuw.edu.pl> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | DMRnet results |
| Reference manual: | DMRnet.pdf |
| Package source: | DMRnet_0.2.0.tar.gz |
| Windows binaries: | r-devel: DMRnet_0.2.0.zip, r-release: DMRnet_0.2.0.zip, r-oldrel: DMRnet_0.2.0.zip |
| macOS binaries: | r-release: DMRnet_0.2.0.tgz, r-oldrel: DMRnet_0.2.0.tgz |
| Old sources: | DMRnet archive |
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