/* * 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; }