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widenet: Penalized Regression with Polynomial Basis Expansions
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.
Getting started
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Package details |
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| Author | Stephan Ritter, Alan Hubbard |
| Maintainer | Stephan Ritter <sritter@berkeley.edu> |
| License | GPL (>= 2) |
| Version | 0.1-2 |
| URL | http://cran.r-project.org/package=widenet |
| Package repository | View on CRAN |
| Installation |
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