The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=glmtlp
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.