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.

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...

EPGLM

EPGLM/src

EPGLM/src/header.h

EPGLM/src/Makevars

EPGLM/src/EP.h

EPGLM/src/EPclogit.h

EPGLM/src/function.cpp

EPGLM/NAMESPACE

EPGLM/R

EPGLM/R/EP.R
EPGLM/MD5

EPGLM/DESCRIPTION

EPGLM/man

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