cnNodeSampleLoglik: Node Log-likelihood
In sdnet: Soft-Discretization-Based Bayesian Network Inference

Description Usage Arguments Value Author(s) See Also Examples

For a given data sample, the function calculates the log-likelihood of a node with respect to a specified parent set.

1 2	cnNodeSampleLoglik(node, pars, data, pert=NULL) cnNodeSampleProb(node, pars, data, pert=NULL)

`node`	an `integer` or a `list` of `integer`s, node indices in the `data`
`pars`	an `integer` or a `list` of `integer`s, vector of parent indices for the `node`s
`data`	a `matrix` or `data.frame` of categories
`pert`	an optional perturbation `matrix` or `data.frame`

a numeric value

N. Balov

cnLoglik

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  cnet <- cnRandomCatnet(numnodes=10, maxpars=3, numcats=2)
  psamples <- cnSamples(object=cnet, numsamples=100)
  cnNodeSampleLoglik(node=5, pars=c(1,2), data=psamples)