/*
* TipHeightLikelihood.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.evomodel.tree;
import dr.inference.distribution.ParametricDistributionModel;
import dr.inference.model.Likelihood;
import dr.inference.model.Parameter;
import org.w3c.dom.Document;
import org.w3c.dom.Element;
/**
* A class that returns the log likelihood of a set of data (statistics)
* being distributed according to the given parametric distribution.
* @author Alexei Drummond
* @version $Id: TipHeightLikelihood.java,v 1.2 2005/05/17 16:54:41 rambaut Exp $
*/
public class TipHeightLikelihood extends Likelihood.Abstract {
public TipHeightLikelihood(ParametricDistributionModel distribution, Parameter tipHeights) {
super(distribution);
this.distribution = distribution;
this.tipHeights = tipHeights;
offsets = new double[tipHeights.getDimension()];
for (int i = 0; i < tipHeights.getDimension(); i++) {
offsets[i] = tipHeights.getParameterValue(i);
}
}
// **************************************************************
// Likelihood IMPLEMENTATION
// **************************************************************
/**
* Calculate the log likelihood of the current state.
* @return the log likelihood.
*/
public double calculateLogLikelihood() {
double logL = 0.0;
for (int i = 0; i < tipHeights.getDimension(); i++) {
logL += distribution.logPdf(tipHeights.getParameterValue(i) - offsets[i]);
}
return logL;
}
/**
* Overridden to always return false.
*/
protected boolean getLikelihoodKnown() {
return false;
}
// **************************************************************
// XMLElement IMPLEMENTATION
// **************************************************************
public Element createElement(Document d) {
throw new RuntimeException("Not implemented yet!");
}
ParametricDistributionModel distribution;
private final Parameter tipHeights;
private final double[] offsets;
}