/*
* OneOnX3PriorParser.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.model;
import dr.xml.*;
import dr.inference.model.Statistic;
import dr.inference.model.OneOnX3Prior;
/**
* @author Chieh-Hsi Wu
*
* Parser of OneOnX3Prior
*
*/
public class OneOnX3PriorParser extends AbstractXMLObjectParser {
public static final String ONE_ONE_X_3_PRIOR = "oneOnX3Prior";
public static final String DATA = "data";
public String getParserName() {
return ONE_ONE_X_3_PRIOR;
}
public Object parseXMLObject(XMLObject xo) throws XMLParseException {
OneOnX3Prior likelihood = new OneOnX3Prior();
XMLObject cxo = xo;
if (xo.hasChildNamed(DATA)) {
cxo = xo.getChild(DATA);
}
for (int i = 0; i < cxo.getChildCount(); i++) {
if (cxo.getChild(i) instanceof Statistic) {
likelihood.addData((Statistic) cxo.getChild(i));
}
}
return likelihood;
}
//************************************************************************
// AbstractXMLObjectParser implementation
//************************************************************************
public XMLSyntaxRule[] getSyntaxRules() {
return rules;
}
private final XMLSyntaxRule[] rules = {
new XORRule(
new ElementRule(Statistic.class, 1, Integer.MAX_VALUE),
new ElementRule(DATA, new XMLSyntaxRule[]{new ElementRule(Statistic.class, 1, Integer.MAX_VALUE)})
)
};
public String getParserDescription() {
return "Calculates the (improper) prior proportional to Prod_i (1/x_i^3) for the given statistic x.";
}
public Class getReturnType() {
return OneOnX3Prior.class;
}
}