Extends the glmnet and relaxnet packages with polynomial basis expansions. Basis expansion is applied to the predictors and a subset of the basis functions is chosen using relaxnet. Predictors may be screened using correlation or t-tests. Screening is done separately within cross-validation folds. Cross-validation may be used to select the order of basis expansion and alpha, the elastic net tuning parameter.
| Version: | 0.1-2 |
| Depends: | glmnet, relaxnet |
| Suggests: | genefilter, parallel |
| Published: | 2013-07-29 |
| Author: | Stephan Ritter, Alan Hubbard |
| Maintainer: | Stephan Ritter <sritter at berkeley.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://cran.r-project.org/package=widenet |
| NeedsCompilation: | yes |
| CRAN checks: | widenet results |
| Reference manual: | widenet.pdf |
| Package source: | widenet_0.1-2.tar.gz |
| Windows binaries: | r-devel: widenet_0.1-2.zip, r-release: widenet_0.1-2.zip, r-oldrel: widenet_0.1-2.zip |
| OS X binaries: | r-release: widenet_0.1-2.tgz, r-oldrel: widenet_0.1-2.tgz |
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