/* * MutationDeathModel.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: MutationDeathModel * Description: * * * Created by * Alexander V. Alekseyenko (alexander.alekseyenko@gmail.com) * Date: Feb 19, 2008 * Time: 12:41:01 PM */ package dr.oldevomodel.substmodel; import dr.evolution.datatype.DataType; import dr.oldevomodelxml.substmodel.MutationDeathModelParser; import dr.inference.model.Model; import dr.inference.model.Parameter; public class MutationDeathModel extends AbstractSubstitutionModel { private AbstractSubstitutionModel CTMCModel; private Parameter delParameter = null; protected double[] trMatrix; private Parameter baseSubModelFreq; private Parameter thisSubModelFreq; private Parameter mutationRate; public MutationDeathModel(Parameter delParameter, DataType dT, AbstractSubstitutionModel evoModel, FrequencyModel freqModel, Parameter mutationRate) { super(MutationDeathModelParser.MD_MODEL, dT, freqModel); CTMCModel = evoModel; stateCount = freqModel.getFrequencyCount(); this.delParameter = delParameter; this.dataType = dT; this.mutationRate = mutationRate; addVariable(delParameter); delParameter.addBounds(new Parameter.DefaultBounds(Double.POSITIVE_INFINITY, 0.0, 1)); addVariable(mutationRate); // addModel(freqModel); if (evoModel != null) { addModel(evoModel.getFrequencyModel()); addModel(evoModel); } trMatrix = new double[(stateCount - 1) * (stateCount - 1)]; if (CTMCModel != null) { baseSubModelFreq = CTMCModel.getFrequencyModel().getFrequencyParameter(); } else { baseSubModelFreq = new Parameter.Default(new double[]{1.0}); } thisSubModelFreq = getFrequencyModel().getFrequencyParameter(); double total = 0; for (int i = 0; i < baseSubModelFreq.getDimension(); i++) { double value = thisSubModelFreq.getParameterValue(i); total += value; baseSubModelFreq.setParameterValue(i, value); } for (int i = 0; i < baseSubModelFreq.getDimension(); i++) { baseSubModelFreq.setParameterValue(i, baseSubModelFreq.getParameterValue(i) / total); } thisSubModelFreq.setParameterValue(thisSubModelFreq.getDimension() - 1, 0.0); copyFrequencies(); frequenciesChanged(); ratesChanged(); setupRelativeRates(); } public Parameter getDeathParameter() { return this.delParameter; } protected void storeState() { } protected void restoreState() { } protected void handleModelChangedEvent(Model model, Object object, int index) { if (object == baseSubModelFreq) { copyFrequencies(); fireModelChanged(object, index); } else if (model == CTMCModel) { fireModelChanged(object, index); } } private void copyFrequencies() { for (int i = 0; i < baseSubModelFreq.getDimension(); i++) thisSubModelFreq.setParameterValueQuietly(i, baseSubModelFreq.getParameterValue(i)); } @Override protected void frequenciesChanged() { } @Override protected void ratesChanged() { } @Override protected void setupRelativeRates() { } public void getTransitionProbabilities(double distance, double[] matrix) { int i, j; // assuming that expected number of changes in CTMCModel is 1 per unit time // we are contributing s*deathRate number of changes per unit of time double deathProb = Math.exp(-distance * delParameter.getParameterValue(0)); double mutationR = 2 * mutationRate.getParameterValue(0); double freqs[] = freqModel.getFrequencyParameter().getParameterValues(); for (i = 0; i < freqs.length - 1; ++i) { mutationR *= freqs[i]; } if (CTMCModel != null) { CTMCModel.getTransitionProbabilities(mutationR * distance, trMatrix); } else { trMatrix[0] = 1.0; } for (i = 0; i < stateCount - 1; ++i) { for (j = 0; j < stateCount - 1; j++) { matrix[i * (stateCount) + j] = trMatrix[i * (stateCount - 1) + j] * deathProb; } matrix[i * (stateCount) + j] = (1.0 - deathProb); } for (j = 0; j < stateCount - 1; ++j) { matrix[stateCount * (stateCount - 1) + j] = 0.0; } matrix[stateCount * stateCount - 1] = 1.0; /* System.err.println("Transition matrix t = "+distance); for(i=0;i<stateCount;++i){ System.err.print("["); for(j=0;j<stateCount; ++j){ System.err.print(" "+matrix[i*stateCount+j]); } System.err.println(" ]"); }*/ } }