Functions for fitting linear and generalized linear models with variable selection. The functions can automatically do Stepwise Regression, Lasso or Elastic Net as variable selection methods. Lasso and Elastic net are improved and handle factors better (they can either include or exclude all factor levels).
| Version: | 0.2 |
| Depends: | glmnet, elasticnet |
| Published: | 2016-03-09 |
| Author: | Michal Knut |
| Maintainer: | Michal Knut <1105406k at student.gla.ac.uk> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | regsel results |
| Reference manual: | regsel.pdf |
| Package source: | regsel_0.2.tar.gz |
| Windows binaries: | r-devel: regsel_0.2.zip, r-release: regsel_0.2.zip, r-oldrel: regsel_0.2.zip |
| OS X binaries: | r-release: regsel_0.2.tgz, r-oldrel: regsel_0.2.tgz |
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