Sparsity Oriented Importance Learning R package SOIL version 1.1 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+). Software Imports: stats, glmnet, ncvreg, MASS, parallel, brglm2 Yi Yang <yi.yang6@mcgill.ca> Comprehensive R Archive Network (CRAN) Chenglong Ye <yexxx323@umn.edu>, Yi Yang <yi.yang6@mcgill.ca>, Yuhong Yang <yyang@stat.umn.edu> GPL-2 2017-09-20 application/tgz https://CRAN.R-project.org/package=SOIL doi:10.32614/CRAN.package.SOIL