/* * ALSTreeLikelihood.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.oldevomodel.MSSD; import dr.evolution.alignment.PatternList; import dr.evomodel.branchratemodel.BranchRateModel; import dr.oldevomodel.sitemodel.SiteModel; import dr.evomodel.tree.TreeModel; import dr.evomodel.treelikelihood.LikelihoodScalingProvider; import dr.oldevomodel.treelikelihood.ScaleFactorsHelper; import dr.oldevomodel.treelikelihood.TreeLikelihood; import dr.inference.model.Model; /** * Package: ALSTreeLikelihood * Description: * <p/> * <p/> * Created by * Alexander V. Alekseyenko (alexander.alekseyenko@gmail.com) * Date: Feb 13, 2008 * Time: 10:13:07 AM */ public class ALSTreeLikelihood extends TreeLikelihood { protected AbstractObservationProcess observationProcess; public ALSTreeLikelihood(AbstractObservationProcess observationProcess, PatternList patternList, TreeModel treeModel, SiteModel siteModel, BranchRateModel branchRateModel, boolean useAmbiguities, boolean storePartials, boolean forceRescaling) { super(patternList, treeModel, siteModel, branchRateModel, null, useAmbiguities, false, storePartials, false, forceRescaling); this.observationProcess = observationProcess; addModel(observationProcess); // TreeLikelihood does not initialize the partials for tips, we'll do it ourselves int extNodeCount = treeModel.getExternalNodeCount(); for (int i = 0; i < extNodeCount; i++) { String id = treeModel.getTaxonId(i); int index = patternList.getTaxonIndex(id); setPartials(likelihoodCore, patternList, categoryCount, index, i); } /* //Examine the tree double totalTime=0.0; double realTime = 0.0; for(int i=0; i<treeModel.getNodeCount();++i){ NodeRef node = treeModel.getNode(i); double branchRate = branchRateModel.getBranchRate(treeModel,node); double branchTime = treeModel.getBranchLength(node); totalTime+=branchRate*branchTime; realTime += branchTime; System.err.println("Node "+node.toString()+ " time: "+branchTime+ " rate "+branchRate+" together "+branchTime*branchRate); } System.err.println("TotalTime: "+totalTime); System.err.println("RealTime: "+realTime);*/ scaleFactorsHelper = new ScaleFactorsHelper((LikelihoodScalingProvider) likelihoodCore, this, treeModel, stateCount, patternCount, categoryCount); } protected double calculateLogLikelihood() { // Calculate the partial likelihoods super.calculateLogLikelihood(); // get the frequency model double[] freqs = frequencyModel.getFrequencies(); // let the observationProcess handle the rest scaleFactorsHelper.resetScaleFactors(); return observationProcess.nodePatternLikelihood(freqs, likelihoodCore, scaleFactorsHelper); } protected void handleModelChangedEvent(Model model, Object object, int index) { if (model == observationProcess) { likelihoodKnown = false; } else { super.handleModelChangedEvent(model, object, index); } } final private ScaleFactorsHelper scaleFactorsHelper; }