/*
* MixedDistributionLikelihoodParser.java
*
* Copyright (c) 2002-2015 Alexei Drummond, Andrew Rambaut and Marc Suchard
*
* This file is part of BEAST.
* See the NOTICE file distributed with this work for additional
* information regarding copyright ownership and licensing.
*
* BEAST is free software; you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as
* published by the Free Software Foundation; either version 2
* of the License, or (at your option) any later version.
*
* BEAST is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with BEAST; if not, write to the
* Free Software Foundation, Inc., 51 Franklin St, Fifth Floor,
* Boston, MA 02110-1301 USA
*/
package dr.inferencexml.distribution;
import dr.inference.distribution.MixedDistributionLikelihood;
import dr.inference.distribution.ParametricDistributionModel;
import dr.inference.model.Statistic;
import dr.xml.*;
/**
* Reads a distribution likelihood from a DOM Document element.
*/
public class MixedDistributionLikelihoodParser extends AbstractXMLObjectParser {
public static final String DISTRIBUTION_LIKELIHOOD = "mixedDistributionLikelihood";
public static final String DISTRIBUTION0 = "distribution0";
public static final String DISTRIBUTION1 = "distribution1";
public static final String DATA = "data";
public static final String INDICATORS = "indicators";
public String getParserName() {
return DISTRIBUTION_LIKELIHOOD;
}
public Object parseXMLObject(XMLObject xo) throws XMLParseException {
XMLObject cxo0 = xo.getChild(DISTRIBUTION0);
ParametricDistributionModel model0 = (ParametricDistributionModel) cxo0.getChild(ParametricDistributionModel.class);
XMLObject cxo1 = xo.getChild(DISTRIBUTION1);
ParametricDistributionModel model1 = (ParametricDistributionModel) cxo1.getChild(ParametricDistributionModel.class);
Statistic data = (Statistic) ((XMLObject) xo.getChild(DATA)).getChild(Statistic.class);
Statistic indicators = (Statistic) ((XMLObject) xo.getChild(INDICATORS)).getChild(Statistic.class);
ParametricDistributionModel[] models = {model0, model1};
try {
return new MixedDistributionLikelihood(models, data, indicators);
} catch( Exception e) {
throw new XMLParseException(e.getMessage());
}
}
//************************************************************************
// AbstractXMLObjectParser implementation
//************************************************************************
public XMLSyntaxRule[] getSyntaxRules() {
return rules;
}
private final XMLSyntaxRule[] rules = {
new ElementRule(DISTRIBUTION0,
new XMLSyntaxRule[]{new ElementRule(ParametricDistributionModel.class)}),
new ElementRule(DISTRIBUTION1,
new XMLSyntaxRule[]{new ElementRule(ParametricDistributionModel.class)}),
new ElementRule(DATA, new XMLSyntaxRule[]{new ElementRule(Statistic.class)}),
new ElementRule(INDICATORS, new XMLSyntaxRule[]{new ElementRule(Statistic.class)}),
};
public String getParserDescription() {
return "Calculates the likelihood of some data given some mix of parametric distributions.";
}
public Class getReturnType() {
return MixedDistributionLikelihood.class;
}
}