[aut, cre]Fits classical sparse regression models with efficient active set algorithms by solving quadratic problems as described by Grandvalet, Chiquet and Ambroise (2017) <arXiv:1210.2077>. Also provides a few methods for model selection purpose (cross-validation, stability selection).
| Version: | 0.2-8 |
| Depends: | Rcpp, ggplot2, Matrix |
| Imports: | reshape2, methods, scales, grid, parallel |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat, spelling, lars, elasticnet, glmnet |
| Published: | 2020-11-18 |
| Author: | Julien Chiquet
[aut, cre] |
| Maintainer: | Julien Chiquet <julien.chiquet at inrae.fr> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| Language: | en-US |
| Citation: | quadrupen citation info |
| Materials: | README NEWS |
| CRAN checks: | quadrupen results |
| Reference manual: | quadrupen.pdf |
| Package source: | quadrupen_0.2-8.tar.gz |
| Windows binaries: | r-devel: quadrupen_0.2-8.zip, r-release: quadrupen_0.2-8.zip, r-oldrel: quadrupen_0.2-8.zip |
| macOS binaries: | r-release: quadrupen_0.2-8.tgz, r-oldrel: quadrupen_0.2-8.tgz |
| Old sources: | quadrupen archive |
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