pemultinom
L1-Penalized Multinomial Regression with Statistical Inference
We aim for fitting a multinomial regression model with Lasso penalty and doing statistical inference (calculating confidence intervals of coefficients and p-values for individual variables). It implements 1) the coordinate descent algorithm to fit an l1-penalized multinomial regression model (parameterized with a reference level); 2) the debiasing approach to obtain the inference results, which is described in Tian et al. (2023) doi:10.48550/arXiv.2302.02310.
- Version0.1.0
- R versionunknown
- LicenseGPL-2
- Needs compilation?Yes
- Last release02/16/2023
Team
Ye Tian
MaintainerShow author detailsYang Feng
Show author detailsRolesAuthorHenry Rusinek
Show author detailsRolesAuthorArjun V. Masurkar
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 249 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 17 times.
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Last 365 days
This package has been downloaded 2,403 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 Mar 01, 2025 with 47 downloads.
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Dependencies
- Imports5 packages
- Suggests2 packages
- Linking To1 package