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: 0.6
Depends: R (≥ 2.14.0)
Published: 2016-10-20
Author: Nicholas G. Polson, James G. Scott, and Jesse Windle
Maintainer: Jesse Windle <jesse.windle at>
License: GPL (≥ 3)
NeedsCompilation: yes
Citation: BayesLogit citation info
CRAN checks: BayesLogit results


Reference manual: BayesLogit.pdf
Package source: BayesLogit_0.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: BayesLogit_0.6.tgz
OS X Mavericks binaries: r-oldrel: BayesLogit_0.6.tgz
Old sources: BayesLogit archive

Reverse dependencies:

Reverse depends: bayesreg
Reverse imports: crmPack, dnc, horserule, pogit, tglm


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