Package: reglogit
Type: Package
Title: Simulation-Based Regularized Logistic Regression
Version: 1.2-8
Date: 2025-07-25
Authors@R: person(given = c("Robert", "B."),
                  family = "Gramacy",
                  role = c("cre", "aut"),
                  email = "rbg@vt.edu")
Maintainer: Robert B. Gramacy <rbg@vt.edu>
Depends: R (>= 2.14.0), methods, mvtnorm, boot, Matrix
Suggests: plgp
Description: Regularized (polychotomous) logistic regression by Gibbs
        sampling. The package implements subtly different MCMC schemes
        with varying efficiency depending on the data type (binary v.
        binomial, say) and the desired estimator (regularized maximum
        likelihood, or Bayesian maximum a posteriori/posterior mean,
        etc.) through a unified interface. For details, see Gramacy &
        Polson (2012 <doi:10.1214/12-BA719>).
License: LGPL
URL: https://bobby.gramacy.com/r_packages/reglogit/
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2026-05-26 07:28:46 UTC; root
Author: Robert B. Gramacy [cre, aut]
Repository: https://rbgramacy.r-universe.dev
Date/Publication: 2025-07-24 23:30:02 UTC
RemoteUrl: https://github.com/cran/reglogit
RemoteRef: HEAD
RemoteSha: 48f485d0213c69d9cd4abb3460a36dbd589d313d