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.
- Version2.0.2
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release10/02/2024
Documentation
Team
Yu Yang
Chong Wu
Show author detailsRolesAuthor, Copyright holderWei Pan
Show author detailsRolesThesis advisor, Copyright holderChunlin Li
Show author detailsRolesAuthor, Copyright holderXiaotong Shen
Show author detailsRolesThesis advisor, Copyright holder
Insights
Last 30 days
This package has been downloaded 277 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 20 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,817 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jan 25, 2024 with 110 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports3 packages
- Suggests3 packages