DMRnet: Delete or Merge Regressors Algorithms for Linear and Logistic Model Selection and High-Dimensional Data

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

Documentation:

Reference manual:

DMRnet.pdf

Downloads:

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 (arm64): DMRnet_0.2.0.tgz, r-oldrel (arm64): DMRnet_0.2.0.tgz, r-release (x86_64): DMRnet_0.2.0.tgz, r-oldrel (x86_64): DMRnet_0.2.0.tgz
Old sources:	DMRnet archive

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