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Fit linear, logistic and Cox models regularized with L0, lasso (L1), elastic-net (L1 and L2), or net (L1 and Laplacian) penalty, and their adaptive forms, such as adaptive lasso / elastic-net and net adjusting for signs of linked coefficients. It solves the L0 penalty problem by simultaneously selecting regularization parameters and performing hard-thresholding or selecting the number of non-zeros. This augmented and penalized minimization method provides an approximation solution to the L0 penalty problem, but runs as fast as L1 regularization. The package uses a one-step coordinate descent algorithm and runs extremely fast by taking into account the sparsity structure of coefficients. It can handle very high dimensional data and has superior selection performance.
| Version: | 0.11 |
| Depends: | Matrix (≥ 1.2-10) |
| Imports: | Rcpp (≥ 0.12.12) |
| LinkingTo: | Rcpp, RcppEigen |
| Published: | 2026-06-19 |
| DOI: | 10.32614/CRAN.package.APML0 |
| Author: | Xiang Li [aut, cre], Shanghong Xie [aut], Donglin Zeng [aut], Yuanjia Wang [aut] |
| Maintainer: | Xiang Li <spiritcoke at gmail.com> |
| BugReports: | https://github.com/LeeSprite/APML0/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/LeeSprite/APML0 |
| NeedsCompilation: | yes |
| Language: | en-US |
| Citation: | APML0 citation info |
| CRAN checks: | APML0 results |
| Reference manual: | APML0.html , APML0.pdf |
| Package source: | APML0_0.11.tar.gz |
| Windows binaries: | r-devel: APML0_0.11.zip, r-release: APML0_0.11.zip, r-oldrel: APML0_0.11.zip |
| macOS binaries: | r-release (arm64): APML0_0.11.tgz, r-oldrel (arm64): APML0_0.11.tgz, r-release (x86_64): APML0_0.11.tgz, r-oldrel (x86_64): APML0_0.11.tgz |
| Old sources: | APML0 archive |
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