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>
License: GPL-2
NeedsCompilation: no
Materials: ChangeLog
CRAN checks: SOIL results


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


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