Description Usage Arguments Details Value See Also
View source: R/score-multdir.R
Compute the LOCAL log marginal likelihood of the supplied Bayesian Networks. ie the contribution to the log marginal liklihood from one individual node.
1 2 | localLogScoreMultDir(node, parents, logScoreParameters,
cache, checkInput = T)
|
node |
A numeric vector of length 1. The node to compute the local log score for. |
parents |
A numeric vector. The parents of node. |
logScoreParameters |
A list with the following components:
|
cache |
Optionally, provide an environment with cached local scores for this data. |
checkInput |
A logical of length 1, specifying whether to check the inputs to the function. |
The data must be discrete. The conditional distributions of each random variable, conditional on its parents are assumed to be multinomial, with Dirichlet priors for the parameters.
The notation here roughly follows Mukherjee and Speed (2008) Network inference using informative priors. PNAS 105 (38) 14313-14318, doi: 10.1073/pnas.0802272105
A numeric vector of length 1, giving the log marginal likelihood. The environment 'cache' will also be updated because its scope is global.
logScoreMultDir
,
logScoreMultDirIncremental
,
logScoreMultDirOffline
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