SOIL: Sparsity Oriented Importance Learning

Sparsity Oriented Importance Learning (SOIL) provides an objective and informative profile of variable importances for high dimensional regression and classification models.

Version: 1.0
Depends: stats, glmnet, ncvreg, MASS, parallel, brglm
Published: 2016-07-07
Author: Chenglong Ye, Yi Yang, Yuhong Yang
Maintainer: Yi Yang <yi.yang6 at mcgill.ca>
License: GPL-2
URL: https://github.com/emeryyi/SOIL
NeedsCompilation: no
Materials: ChangeLog
CRAN checks: SOIL results

Downloads:

Reference manual: SOIL.pdf
Package source: SOIL_1.0.tar.gz
Windows binaries: r-devel: SOIL_1.0.zip, r-release: SOIL_1.0.zip, r-oldrel: SOIL_1.0.zip
OS X El Capitan binaries: r-release: SOIL_1.0.tgz
OS X Mavericks binaries: r-oldrel: SOIL_1.0.tgz

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