package dr.inferencexml.distribution;
import dr.inference.distribution.DistributionLikelihood;
import dr.inference.distribution.TwoPartsDistributionLikelihood;
import dr.inference.model.Parameter;
import dr.xml.*;
import dr.math.distributions.Distribution;
/**
* @author Chieh-Hsi Wu
*
* Parser for TwoPartDistribution likelihood
*/
public class TwoPartsDistributionLikelihoodParser extends AbstractXMLObjectParser{
public static final String TWO_PART_DISTRIBUTION_LIKELIHOOD = "twoPartDistribution";
public static final String PRIOR = "priorLik";
public static final String PSEUDO_PRIOR = "pseudoPriorLik";
public static final String PARAMETER_VECTOR = "parameterVector";
public static final String PARAMETER_INDEX = "paramIndex";
public static final String SELECTED_VARIABLE = "selectedVariable";
public String getParserName() {
return TWO_PART_DISTRIBUTION_LIKELIHOOD;
}
public Object parseXMLObject(XMLObject xo) throws XMLParseException {
DistributionLikelihood priorLikelihood = (DistributionLikelihood)xo.getElementFirstChild(PRIOR);
DistributionLikelihood pseudoPriorLikelihood = (DistributionLikelihood)xo.getElementFirstChild(PSEUDO_PRIOR);
Distribution prior = priorLikelihood.getDistribution();
Distribution pseudoPrior = pseudoPriorLikelihood.getDistribution();
Parameter bitVector = (Parameter)xo.getElementFirstChild(PARAMETER_VECTOR);
int paramIndex = xo.getIntegerAttribute(PARAMETER_INDEX);
Parameter selectedVariable = (Parameter)xo.getElementFirstChild(SELECTED_VARIABLE);
TwoPartsDistributionLikelihood likelihood =
new TwoPartsDistributionLikelihood(
prior,
pseudoPrior,
bitVector,
paramIndex
);
likelihood.addData(selectedVariable);
return likelihood;
}
//************************************************************************
// AbstractXMLObjectParser implementation
//************************************************************************
public XMLSyntaxRule[] getSyntaxRules() {
return rules;
}
private final XMLSyntaxRule[] rules = {
};
public String getParserDescription() {
return "Calculates the likelihood of some data given some parametric or empirical distribution.";
}
public Class getReturnType() {
return TwoPartsDistributionLikelihood.class;
}
}