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 |
| 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 Mavericks binaries: | r-release: SOIL_1.0.tgz, r-oldrel: SOIL_1.0.tgz |
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