EPGLM-package: The package computes a Gaussian approximation of a Bayesian...
In EPGLM: Gaussian Approximation of Bayesian Binary Regression Models
Description
Details
Author(s)
References
Description
The package computes a Gaussian approximation of a Bayesian probit/logit using expectation propagation (EP). For the moment the only available prior is a Gaussian. The algorithm is based on the observation of Chopin and Ridgway [2015].
Details
Package: EPGLM
Type: Package
Version: 1.0
Date: 2016-08-23
License: GPL (>= 2)
Author(s)
Author: James Ridgway
Maintainer: James Ridgway <james.ridgway@ensae.fr>
References
N. Chopin and J. Ridgway. Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation. arxiv preprint <https://arxiv.org/abs/1506.08640>
EPGLM documentation built on May 29, 2017, 3:54 p.m.
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Description Details Author(s) References
Description
The package computes a Gaussian approximation of a Bayesian probit/logit using expectation propagation (EP). For the moment the only available prior is a Gaussian. The algorithm is based on the observation of Chopin and Ridgway [2015].
Details
| Package: | EPGLM |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2016-08-23 |
| License: | GPL (>= 2) |
Author(s)
Author: James Ridgway
Maintainer: James Ridgway <james.ridgway@ensae.fr>
References
N. Chopin and J. Ridgway. Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation. arxiv preprint <https://arxiv.org/abs/1506.08640>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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