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EPGLM (version 1.1.2)

Gaussian Approximation of Bayesian Binary Regression Models

Description

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.

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Version

Install

install.packages('EPGLM')

Monthly Downloads

12

Version

1.1.2

License

GPL (>= 2)

Maintainer

James Ridgway

Last Published

August 23rd, 2016

Functions in EPGLM (1.1.2)

EPGLM-package

The package computes a Gaussian approximation of a Bayesian probit/logit using expectation propagation (EP).