logScoreNormalFUN: Normal Log marginal likelihood.
In rjbgoudie/structmcmc: Structural inference for Bayesian Networks and Variable Selection.
Description
Usage
Value
See Also
Description
This function returns a list of functions that are used
for MCMC computation for Normal models, with Zellner
g-priors.
Usage
1
Value
A list consisting of the functions that perform each of
the following roles.
- offline
A function
that computes the logScore of a Bayesian Network
- online
A function that incrementally computes the
logScore of a Bayesian Network
- local
A function
that computes the local logScore of a Bayesian Network
- prepare
A function that prepares the data, and any
further pre-computation required by the logScore
functions.
See Also
logScoreMultDirFUN,
logScoreMultDir,
logScoreNormal
rjbgoudie/structmcmc documentation built on Nov. 3, 2020, 3:41 a.m.
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Description Usage Value See Also
Description
This function returns a list of functions that are used for MCMC computation for Normal models, with Zellner g-priors.
Usage
1 |
Value
A list consisting of the functions that perform each of the following roles.
- offline
A function that computes the logScore of a Bayesian Network
- online
A function that incrementally computes the logScore of a Bayesian Network
- local
A function that computes the local logScore of a Bayesian Network
- prepare
A function that prepares the data, and any further pre-computation required by the logScore functions.
See Also
logScoreMultDirFUN,
logScoreMultDir,
logScoreNormal
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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