cnLoglik: Sample Log-likelihood
In sdnet: Soft-Discretization-Based Bayesian Network Inference

Description Usage Arguments Details Value Author(s) See Also Examples

Calculate the log-likelihood of a sample with respect to a given catNetwork object

1	cnLoglik(object, data, pert=NULL, bysample=FALSE, softmode=FALSE)

`object`	a `catNetwork` object
`data`	a data `matrix` given in the column-sample format, or a `data.frame` in the row-sample format
`pert`	a binary `matrix` with the dimensions of `data`. A value `1` designates the corresponding node in the sample as perturbed.
`bysample`	a `logical`
`softmode`	a `logical`, turns on/off the soft quantization mode

If bysample is set to TRUE, the function output is a vector of log-likelihoods of the individual sample records. Otherwise, the total average of the log-likelihood of the sample is reported.

A numeric value

N. Balov

cnNodeLoglik

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  cnet <- cnRandomCatnet(numnodes=10, maxpars = 3, numcats = 2)
  psamples <- cnSamples(object=cnet, numsamples=100)
  cnLoglik(object=cnet, data=psamples)