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 |
Reference manual: | glmtlp.pdf |
Vignettes: |
glmtlp (source, R code) |
Package source: | glmtlp_2.0.2.tar.gz |
Windows binaries: | r-devel: glmtlp_2.0.1.zip, r-release: glmtlp_2.0.2.zip, r-oldrel: glmtlp_2.0.1.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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