kasparmartens/PolyaGamma: Bayesian Logistic Regression with Polya-Gamma latent variables

Obtain an MCMC sample from the posterior distribution of parameter beta. To achieve this via Gibbs sampling, latent variables from the Polya-Gamma distribution are introduced.

Getting started

Package details

AuthorKaspar Martens and Sherman Ip
MaintainerKaspar Martens <[email protected]>
LicenseWhat license is it under?
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
kasparmartens/PolyaGamma documentation built on March 21, 2019, 9:11 a.m.