/*
* OrnsteinUhlenbeckPriorLikelihoodParser.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.evomodelxml.coalescent;
import dr.evomodel.coalescent.OrnsteinUhlenbeckPriorLikelihood;
import dr.evomodel.coalescent.VariableDemographicModel;
import dr.inference.distribution.ParametricDistributionModel;
import dr.inference.model.Parameter;
import dr.inference.model.Statistic;
import dr.xml.*;
/**
*/
public class OrnsteinUhlenbeckPriorLikelihoodParser extends AbstractXMLObjectParser {// (todo) Parser is still in a bad state
public static final String OU = "Ornstein-Uhlenbeck";
public static final String LOG_SPACE = "logUnits";
public static final String NORMALIZE = "normalize";
public static final String DATA = "data";
public static final String TIMES = "times";
public static final String MEAN = "mean";
public static final String SIGMA = "sigma";
public static final String LAMBDA = "lambda";
public String getParserDescription() {
return "";
}
public Class getReturnType() {
return OrnsteinUhlenbeckPriorLikelihood.class;
}
public String getParserName() {
return OU;
}
private Parameter getParam(XMLObject xo, String name) throws XMLParseException {
final XMLObject object = xo.getChild(name);
// optional
if (object == null) {
return null;
}
final Object child = object.getChild(0);
if (child instanceof Parameter) {
return (Parameter) child;
}
double x = object.getDoubleChild(0);
return new Parameter.Default(x);
}
public Object parseXMLObject(XMLObject xo) throws XMLParseException {
Parameter mean = getParam(xo, MEAN);
Parameter sigma = getParam(xo, SIGMA);
Parameter lambda = getParam(xo, LAMBDA);
final boolean logSpace = xo.getAttribute(LOG_SPACE, false);
final boolean normalize = xo.getAttribute(NORMALIZE, false);
VariableDemographicModel m = (VariableDemographicModel) xo.getChild(VariableDemographicModel.class);
if (m != null) {
ParametricDistributionModel popMeanPrior = (ParametricDistributionModel) xo.getChild(ParametricDistributionModel.class);
return new OrnsteinUhlenbeckPriorLikelihood(mean, sigma, lambda, m, logSpace, normalize, popMeanPrior);
}
final XMLObject cxo1 = xo.getChild(DATA);
Parameter dataParameter = (Parameter) cxo1.getChild(Parameter.class);
final XMLObject cxo2 = xo.getChild(TIMES);
final Parameter timesParameter = (Parameter) cxo2.getChild(Parameter.class);
return new OrnsteinUhlenbeckPriorLikelihood(mean, sigma, lambda, dataParameter, timesParameter, logSpace, normalize);
}
public XMLSyntaxRule[] getSyntaxRules() {
return new XMLSyntaxRule[]{
AttributeRule.newBooleanRule(LOG_SPACE, true),
AttributeRule.newBooleanRule(NORMALIZE, true),
//new ElementRule(DATA, new XMLSyntaxRule[]{new ElementRule(Statistic.class)}),
//new ElementRule(TIMES, new XMLSyntaxRule[]{new ElementRule(Statistic.class)}),
new XORRule(
new ElementRule(MEAN, Double.class),
new ElementRule(MEAN, Parameter.class),
true
),
new XORRule(
new ElementRule(SIGMA, Double.class),
new ElementRule(SIGMA, Parameter.class)
),
new XORRule(
new ElementRule(LAMBDA, Double.class),
new ElementRule(LAMBDA, Parameter.class),
true
),
// you can't have a XOR (b AND c), yikes
// make all optional and check in parser
new ElementRule(VariableDemographicModel.class, true),
new ElementRule(DATA, new XMLSyntaxRule[]{new ElementRule(Statistic.class)}, true),
new ElementRule(TIMES, new XMLSyntaxRule[]{new ElementRule(Statistic.class)}, true)
};
}
}