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 |
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