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, Y., Rusinek, H., Masurkar, A. V., & Feng, Y. (2024). L1‐Penalized Multinomial Regression: Estimation, Inference, and Prediction, With an Application to Risk Factor Identification for Different Dementia Subtypes. Statistics in Medicine, 43(30), 5711-5747."
| Version: | 0.1.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | foreach, doParallel, stats, Rcpp, nnet, magrittr, utils, lpSolve |
| LinkingTo: | Rcpp |
| Suggests: | knitr, rmarkdown |
| Published: | 2025-02-28 |
| DOI: | 10.32614/CRAN.package.pemultinom |
| Author: | Ye Tian [aut, cre], Henry Rusinek [aut], Arjun V. Masurkar [aut], Yang Feng [aut] |
| Maintainer: | Ye Tian <ye.t at columbia.edu> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| CRAN checks: | pemultinom results |
| Reference manual: | pemultinom.html , pemultinom.pdf |
| Package source: | pemultinom_0.1.1.tar.gz |
| Windows binaries: | r-devel: pemultinom_0.1.1.zip, r-release: pemultinom_0.1.1.zip, r-oldrel: pemultinom_0.1.1.zip |
| macOS binaries: | r-release (arm64): pemultinom_0.1.1.tgz, r-oldrel (arm64): pemultinom_0.1.1.tgz, r-release (x86_64): pemultinom_0.1.1.tgz, r-oldrel (x86_64): pemultinom_0.1.1.tgz |
| Old sources: | pemultinom archive |
Please use the canonical form https://CRAN.R-project.org/package=pemultinom to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.