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
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glmtlp.pdf |glmtlp.html
glmtlp/json (API)
NEWS

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

Pkgdown 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-Forge:

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

cpp

3.52 score 33 scripts 276 downloads 10 exports 32 dependencies

Last updated 5 months agofrom:0cc1c1e6bc. Checks:11 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 02 2025
R-4.5-win-x86_64OKMar 02 2025
R-4.5-mac-x86_64OKMar 02 2025
R-4.5-mac-aarch64OKMar 02 2025
R-4.5-linux-x86_64OKMar 02 2025
R-4.4-win-x86_64OKMar 02 2025
R-4.4-mac-x86_64OKMar 02 2025
R-4.4-mac-aarch64OKMar 02 2025
R-4.3-win-x86_64OKMar 02 2025
R-4.3-mac-x86_64OKMar 02 2025
R-4.3-mac-aarch64OKMar 02 2025

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

Dependencies:clicodetoolscolorspacedoParallelfansifarverforeachggplot2gluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr

An Introduction to glmtlp

Rendered fromglmtlp.Rmdusingknitr::rmarkdownon Mar 02 2025.

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