BayesLogit: Logistic Regression

The BayesLogit package does posterior simulation for binomial and multinomial logistic regression using the Polya-Gamma latent variable technique. This method is fully automatic, exact, and fast. A routine to efficiently sample from the Polya-Gamma class of distributions is included.

Version: 0.5.1
Depends: R (≥ 2.14.0)
Published: 2014-07-21
Author: Nicholas G. Polson, James G. Scott, and Jesse Windle
Maintainer: Jesse Windle <jesse.windle at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: yes
Citation: BayesLogit citation info
CRAN checks: BayesLogit results

Downloads:

Reference manual: BayesLogit.pdf
Package source: BayesLogit_0.5.1.tar.gz
Windows binaries: r-devel: BayesLogit_0.5.1.zip, r-release: BayesLogit_0.5.1.zip, r-oldrel: BayesLogit_0.5.1.zip
OS X Snow Leopard binaries: r-release: BayesLogit_0.5.1.tgz, r-oldrel: BayesLogit_0.5.1.tgz
OS X Mavericks binaries: r-release: BayesLogit_0.5.1.tgz
Old sources: BayesLogit archive

Reverse dependencies:

Reverse depends: NHMM
Reverse imports: crmPack, pogit, tglm