/*
* 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;
}