EPprobitCxx: C++ internal function to compute the EP approximation (use...
In EPGLM: Gaussian Approximation of Bayesian Binary Regression Models
Description
Usage
Arguments
Value
Note
Author(s)
References
Description
The function is the C++ internal function used by EPprobit
Usage
1
Arguments
...
See arguments of EPprobit
Value
m
Mean of the Gaussian approximation
V
Variance matrix of the Gaussian approximation
Z
Approximated log marginal likelihood
Note
More prior and model should be available shortly.
Author(s)
James Ridgway
References
N. Chopin and J. Ridgway. Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation. arxiv:1506.08640
EPGLM documentation built on May 29, 2017, 3:54 p.m.
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Description Usage Arguments Value Note Author(s) References
Description
The function is the C++ internal function used by EPprobit
Usage
1 |
Arguments
... |
See arguments of EPprobit |
Value
m |
Mean of the Gaussian approximation |
V |
Variance matrix of the Gaussian approximation |
Z |
Approximated log marginal likelihood |
Note
More prior and model should be available shortly.
Author(s)
James Ridgway
References
N. Chopin and J. Ridgway. Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation. arxiv: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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