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: 2.0.0
Depends: R (≥ 3.5.0), foreach, parallel
Imports: doParallel, ggplot2
Suggests: rmarkdown, knitr, testthat (≥ 3.0.0)
Published: 2021-10-15
Author: Chunlin Li [aut], Yu Yang [aut, cre], Chong Wu [aut]
Maintainer: Yu Yang <yang6367 at umn.edu>
License: GPL-3
URL: https://yuyangyy.com/glmtlp/
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: glmtlp results

Downloads:

Reference manual: glmtlp.pdf
Vignettes: glmtlp
Package source: glmtlp_2.0.0.tar.gz
Windows binaries: r-devel: glmtlp_1.1.zip, r-release: glmtlp_1.1.zip, r-oldrel: glmtlp_2.0.0.zip
macOS binaries: r-release (arm64): glmtlp_1.1.tgz, r-release (x86_64): glmtlp_2.0.0.tgz, r-oldrel: glmtlp_2.0.0.tgz
Old sources: glmtlp archive

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