Fits sparse generalized linear models using an adaptive ridge approximation to an L0 penalty. Supported model families include Gaussian, logistic, Poisson, gamma, and inverse Gaussian regression. The package also provides cross-validation for selecting the penalty parameter.
| Version: | 0.1.7 |
| Imports: | Rcpp (≥ 0.12.6) |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2026-04-27 |
| DOI: | 10.32614/CRAN.package.l0ara |
| Author: | Wenchuan Guo [aut, cre], Shujie Ma [aut], Zhenqiu Liu [aut] |
| Maintainer: | Wenchuan Guo <wguo1017 at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| Materials: | README, NEWS |
| CRAN checks: | l0ara results |
| Reference manual: | l0ara.html , l0ara.pdf |
| Package source: | l0ara_0.1.7.tar.gz |
| Windows binaries: | r-devel: l0ara_0.1.6.zip, r-release: l0ara_0.1.6.zip, r-oldrel: l0ara_0.1.6.zip |
| macOS binaries: | r-release (arm64): l0ara_0.1.6.tgz, r-oldrel (arm64): l0ara_0.1.6.tgz, r-release (x86_64): l0ara_0.1.6.tgz, r-oldrel (x86_64): l0ara_0.1.6.tgz |
| Old sources: | l0ara archive |
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