clogitL1
Fitting Exact Conditional Logistic Regression with Lasso and Elastic Net Penalties
Tools for the fitting and cross validation of exact conditional logistic regression models with lasso and elastic net penalties. Uses cyclic coordinate descent and warm starts to compute the entire path efficiently.
- Version1.5
- R versionunknown
- LicenseGPL-2
- Needs compilation?Yes
- clogitL1 citation info
- Last release02/02/2019
Team
Stephen Reid
Robert Tibshirani
Insights
Last 30 days
This package has been downloaded 297 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 3 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 3,630 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 21, 2024 with 69 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.
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Dependencies
- Depends1 package
- Linking To1 package
- Reverse Imports1 package