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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.
Getting started
Browse package contents
Package details |
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| Author | James Ridgway |
| Maintainer | James Ridgway <james.ridgway@ensae.fr> |
| License | GPL (>= 2) |
| Version | 1.1.2 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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