Package: glmtlp 2.0.2

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.

Authors:Chunlin Li [aut, cph], Yu Yang [aut, cre, cph], Chong Wu [aut, cph], Xiaotong Shen [ths, cph], Wei Pan [ths, cph]

glmtlp_2.0.2.tar.gz
glmtlp_2.0.2.zip(r-4.7)glmtlp_2.0.2.zip(r-4.6)glmtlp_2.0.2.zip(r-4.5)
glmtlp_2.0.2.tgz(r-4.6-x86_64)glmtlp_2.0.2.tgz(r-4.6-arm64)glmtlp_2.0.2.tgz(r-4.5-x86_64)glmtlp_2.0.2.tgz(r-4.5-arm64)
glmtlp_2.0.2.tar.gz(r-4.7-arm64)glmtlp_2.0.2.tar.gz(r-4.7-x86_64)glmtlp_2.0.2.tar.gz(r-4.6-arm64)glmtlp_2.0.2.tar.gz(r-4.6-x86_64)
glmtlp_2.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
glmtlp/json (API)
NEWS

# Install 'glmtlp' in R:
install.packages('glmtlp', repos = c('https://yuyangstat.r-universe.dev', 'https://cloud.r-project.org'))

Pkgdown/docs site:https://yuyangyy.com

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • bin_data - A simulated binomial data set.
  • gau_data - A simulated gaussian data set.

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

3.22 score 33 scripts 223 downloads 10 exports 21 dependencies

Last updated from:0cc1c1e6bc. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK132
linux-devel-x86_64OK145
source / vignettesOK171
linux-release-arm64OK128
linux-release-x86_64OK133
macos-release-arm64OK167
macos-release-x86_64OK360
macos-oldrel-arm64OK200
macos-oldrel-x86_64OK252
windows-develOK121
windows-releaseOK112
windows-oldrelOK121
wasm-releaseOK111

Exports:coef.cv.glmtlpcoef.glmtlpcv.glmtlpgen.binomial.datagen.gaussian.dataglmtlpplot.cv.glmtlpplot.glmtlppredict.cv.glmtlppredict.glmtlp

Dependencies:clicodetoolscpp11doParallelfarverforeachggplot2gluegtableisobanditeratorslabelinglifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr

An Introduction to glmtlp

Chunlin Li, Yu Yang, Chong Wu

Rendered fromglmtlp.Rmdusingknitr::rmarkdownon May 07 2026.

Last update: 2024-10-03
Started: 2021-10-15