EPGLM: Gaussian Approximation of Bayesian Binary Regression Models

The main functions compute the expectation propagation approximation of a Bayesian probit/logit models with Gaussian prior. More information can be found in Chopin and Ridgway (2015). More models and priors should follow.

Version: 1.1.2
Depends: Rcpp, MASS
LinkingTo: Rcpp, RcppArmadillo, BH
Published: 2016-08-23
Author: James Ridgway
Maintainer: James Ridgway <james.ridgway at ensae.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: EPGLM results


Reference manual: EPGLM.pdf
Package source: EPGLM_1.1.2.tar.gz
Windows binaries: r-devel: EPGLM_1.1.2.zip, r-release: EPGLM_1.1.2.zip, r-oldrel: EPGLM_1.1.2.zip
OS X El Capitan binaries: r-release: EPGLM_1.1.2.tgz
OS X Mavericks binaries: r-oldrel: EPGLM_1.1.2.tgz
Old sources: EPGLM archive


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