reglogit

Simulation-Based Regularized Logistic Regression

v1.2-8 · Jul 24, 2025 · LGPL

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>).

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CRAN Check Status

14 OK

Show all 14 flavors

Flavor	Status	Time
r-devel-linux-x86_64-debian-clang	OK	71.4s
r-devel-linux-x86_64-debian-gcc	OK	52.3s
r-devel-linux-x86_64-fedora-clang	OK	100.6s
r-devel-linux-x86_64-fedora-gcc	OK	105.5s
r-devel-macos-arm64	OK	22s
r-devel-windows-x86_64	OK	89s
r-oldrel-macos-arm64	OK
r-oldrel-macos-x86_64	OK	85s
r-oldrel-windows-x86_64	OK	102s
r-patched-linux-x86_64	OK	66.3s
r-release-linux-x86_64	OK	64.9s
r-release-macos-arm64	OK
r-release-macos-x86_64	OK	67s
r-release-windows-x86_64	OK	86s

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Version History

new 1.2-8 Mar 10, 2026

updated 1.2-8 ← 1.2-7 diff Jul 24, 2025

updated 1.2-7 ← 1.2-6 diff Apr 24, 2023

updated 1.2-6 ← 1.2-5 diff Sep 13, 2018

updated 1.2-5 ← 1.2-4 diff Nov 18, 2017

updated 1.2-4 ← 1.2-2 diff Jun 21, 2015

updated 1.2-2 ← 1.2-1 diff Jan 14, 2014

updated 1.2-1 ← 1.2 diff Sep 16, 2013

updated 1.2 ← 1.1-1 diff Apr 23, 2013

updated 1.1-1 ← 1.1 diff Dec 9, 2012

updated 1.1 ← 1.0 diff Jan 3, 2012

new 1.0 Aug 6, 2011