Extremely efficient procedures for fitting regularization path with l0, l1, and truncated lasso penalty for linear regression and logistic regression models. This version is a completely new version compared with our previous version, which was mainly based on R. New core algorithms are developed and are now written in C++ and highly optimized.
| Version: | 2.0.2 | 
| Depends: | R (≥ 3.5.0) | 
| Imports: | foreach, doParallel, ggplot2 | 
| Suggests: | rmarkdown, knitr, testthat (≥ 3.0.0) | 
| Published: | 2024-10-02 | 
| DOI: | 10.32614/CRAN.package.glmtlp | 
| Author: | Chunlin Li | 
| Maintainer: | Yu Yang <yuyang.stat at gmail.com> | 
| License: | GPL-3 | 
| URL: | https://yuyangyy.com/glmtlp/ | 
| NeedsCompilation: | yes | 
| Materials: | README, NEWS | 
| CRAN checks: | glmtlp results | 
| Reference manual: | glmtlp.html , glmtlp.pdf | 
| Vignettes: | glmtlp (source, R code) | 
| Package source: | glmtlp_2.0.2.tar.gz | 
| Windows binaries: | r-devel: glmtlp_2.0.2.zip, r-release: glmtlp_2.0.2.zip, r-oldrel: glmtlp_2.0.2.zip | 
| macOS binaries: | r-release (arm64): glmtlp_2.0.2.tgz, r-oldrel (arm64): glmtlp_2.0.2.tgz, r-release (x86_64): glmtlp_2.0.2.tgz, r-oldrel (x86_64): glmtlp_2.0.2.tgz | 
| Old sources: | glmtlp archive | 
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