Package: SOIL
Type: Package
Title: Sparsity Oriented Importance Learning
Version: 1.1
Date: 2017-09-20
Author: Chenglong Ye <yexxx323@umn.edu>, Yi Yang <yi.yang6@mcgill.ca>, Yuhong Yang <yyang@stat.umn.edu>
Maintainer: Yi Yang <yi.yang6@mcgill.ca>
Imports: stats, glmnet, ncvreg, MASS, parallel, brglm2
Description: Sparsity Oriented Importance Learning (SOIL) provides a new variable importance measure for high dimensional linear regression and logistic regression from a sparse penalization perspective, by taking into account the variable selection uncertainty via the use of a sensible model weighting. The package is an implementation of Ye, C., Yang, Y., and Yang, Y. (2017+).
License: GPL-2
URL: https://github.com/emeryyi/SOIL
Packaged: 2017-09-20 18:08:09 UTC; yiyang
Date/Publication: 2017-09-20 18:24:46 UTC
NeedsCompilation: no
Repository: CRAN
Built: R 4.6.0; ; 2026-04-28 11:18:29 UTC; unix
