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.

Install the latest version of this package by entering the following in R:

`install.packages("EPGLM")`

Author | James Ridgway |

Date of publication | 2016-08-23 16:31:11 |

Maintainer | James Ridgway <james.ridgway@ensae.fr> |

License | GPL (>= 2) |

Version | 1.1.2 |

**EPGLM-package:** The package computes a Gaussian approximation of a Bayesian...

**EPlogit:** Compute the EP (expectation propagation) approximation of a...

**EPlogitCxx:** C++ internal function to compute the EP approximation (use...

**EPprobit:** Compute the EP (expectation propagation) approximation of a...

**EPprobitCxx:** C++ internal function to compute the EP approximation (use...

src

src/header.h

src/Makevars

src/EP.h

src/EPclogit.h

src/function.cpp

NAMESPACE

R

R/EP.R
MD5

DESCRIPTION

man

man/EPprobit.Rd
man/EPlogitCxx.Rd
man/EPGLM-package.Rd
man/EPprobitCxx.Rd
man/EPlogit.Rd
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