glmtlp: Generalized Linear Models with Truncated Lasso Penalty
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 [aut, cph], Yu Yang [aut, cre, cph], Chong Wu [aut, cph], Xiaotong Shen [ths, cph], Wei Pan [ths, cph] |
| 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 |
Documentation:
| Reference manual: | glmtlp.html ,glmtlp.pdf |
| Vignettes: | glmtlp (source,R code) |
Downloads:
| 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 |
Linking:
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