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Fits classical sparse regression models with efficient active set algorithms by solving quadratic problems as described by Grandvalet, Chiquet and Ambroise (2017) <doi:10.48550/arXiv.1210.2077>. Also provides a few methods for model selection purpose (cross-validation, stability selection).
Version: | 0.2-12 |
Depends: | Rcpp, ggplot2, Matrix |
Imports: | reshape2, methods, scales, grid, parallel |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | testthat, spelling, lars, elasticnet, glmnet |
Published: | 2024-06-25 |
DOI: | 10.32614/CRAN.package.quadrupen |
Author: | Julien Chiquet |
Maintainer: | Julien Chiquet <julien.chiquet at inrae.fr> |
BugReports: | https://github.com/jchiquet/quadrupenCRAN/issues |
License: | GPL (≥ 3) |
URL: | https://github.com/jchiquet/quadrupenCRAN |
NeedsCompilation: | yes |
Language: | en-US |
Citation: | quadrupen citation info |
Materials: | README NEWS |
CRAN checks: | quadrupen results |
Reference manual: | quadrupen.pdf |
Package source: | quadrupen_0.2-12.tar.gz |
Windows binaries: | r-devel: quadrupen_0.2-12.zip, r-release: quadrupen_0.2-12.zip, r-oldrel: quadrupen_0.2-12.zip |
macOS binaries: | r-release (arm64): quadrupen_0.2-12.tgz, r-oldrel (arm64): quadrupen_0.2-12.tgz, r-release (x86_64): quadrupen_0.2-12.tgz, r-oldrel (x86_64): quadrupen_0.2-12.tgz |
Old sources: | quadrupen archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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