Package: pemultinom
Type: Package
Title: L1-Penalized Multinomial Regression with Statistical Inference
Version: 0.1.1
Authors@R: c(person("Ye", "Tian", role = c("aut", "cre"), email = "ye.t@columbia.edu"), person("Henry", "Rusinek", role = "aut", email = "hr18@nyu.edu"), person("Arjun", "V. Masurkar", role = "aut", email = "Arjun.Masurkar@nyulangone.org"), person("Yang", "Feng", role = "aut", email = "yang.feng@nyu.edu"))
Description: 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."
Imports: foreach, doParallel, stats, Rcpp, nnet, magrittr, utils,
        lpSolve
LinkingTo: Rcpp
License: GPL-2
Depends: R (>= 3.5.0)
Encoding: UTF-8
RoxygenNote: 7.3.2
Suggests: knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2026-09-22 08:19:07 UTC; root
Author: Ye Tian [aut, cre], Henry Rusinek [aut], Arjun V. Masurkar
        [aut], Yang Feng [aut]
Maintainer: Ye Tian <ye.t@columbia.edu>
Repository: https://ytstat.r-universe.dev
Date/Publication: 2025-02-28 09:40:02 UTC
RemoteUrl: https://github.com/cran/pemultinom
RemoteRef: HEAD
RemoteSha: 628a435d112e06ae9b36434a49b23d6f12785459