/*
* HomogenousBranchSubstitutionModel.java
*
* Copyright (C) 2002-2012 Alexei Drummond, Andrew Rambaut & Marc A. 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.app.beagle.evomodel.sitemodel;
import beagle.Beagle;
import dr.app.beagle.evomodel.substmodel.EigenDecomposition;
import dr.app.beagle.evomodel.substmodel.FrequencyModel;
import dr.app.beagle.evomodel.substmodel.SubstitutionModel;
import dr.app.beagle.evomodel.treelikelihood.BufferIndexHelper;
import dr.evolution.tree.NodeRef;
import dr.evolution.tree.Tree;
import dr.evomodel.tree.TreeModel;
import dr.inference.model.AbstractModel;
import dr.inference.model.Model;
import dr.inference.model.Parameter;
import dr.inference.model.Variable;
/**
* @author Andrew Rambaut
* @author Alexei Drummond
* @version $Id$
*/
@Deprecated // Switching to BranchModel
public class HomogenousBranchSubstitutionModel extends AbstractModel implements BranchSubstitutionModel {
public HomogenousBranchSubstitutionModel(SubstitutionModel substModel, FrequencyModel frequencyModel) {
super("HomogenousBranchSubstitutionModel");
this.substModel = substModel;
addModel(substModel);
this.frequencyModel = frequencyModel;
addModel(frequencyModel);
}
/**
* Homogenous model - returns the same substitution model for all branches/categories
*
* @param branchIndex
* @param categoryIndex
* @return
*/
public EigenDecomposition getEigenDecomposition(int branchIndex, int categoryIndex) {
return substModel.getEigenDecomposition();
}
public void setEigenDecomposition(Beagle beagle, int eigenIndex, BufferIndexHelper bufferHelper, int dummy) {
EigenDecomposition ed = getEigenDecomposition(eigenIndex, dummy);
beagle.setEigenDecomposition(
bufferHelper.getOffsetIndex(eigenIndex),
ed.getEigenVectors(),
ed.getInverseEigenVectors(),
ed.getEigenValues());
}
public SubstitutionModel getSubstitutionModel(int branchIndex, int categoryIndex) {
return substModel;
}
/**
* Homogenous model - returns the same frequency model for all categories
*
* @param categoryIndex
* @return
*/
public double[] getStateFrequencies(int categoryIndex) {
return frequencyModel.getFrequencies();
}
/**
* Homogenous model - returns if substitution model can return complex diagonalization
*
* @return
*/
public boolean canReturnComplexDiagonalization() {
return substModel.canReturnComplexDiagonalization();
}
/**
* Homogenous model - always returns model 0
*
* @param tree
* @param node
* @return
*/
public int getBranchIndex(final Tree tree, final NodeRef node, int bufferIndex) {
return 0;
}
public int getEigenCount() {
return 1;
}
private final SubstitutionModel substModel;
private final FrequencyModel frequencyModel;
protected void handleModelChangedEvent(Model model, Object object, int index) {
fireModelChanged();
}
protected void handleVariableChangedEvent(Variable variable, int index, Parameter.ChangeType type) {
}
protected void storeState() {
}
protected void restoreState() {
}
protected void acceptState() {
}
public void updateTransitionMatrices(Beagle beagle,
int eigenIndex,
BufferIndexHelper bufferHelper,
final int[] probabilityIndices,
final int[] firstDerivativeIndices,
final int[] secondDervativeIndices,
final double[] edgeLengths,
int count) {
beagle.updateTransitionMatrices(bufferHelper.getOffsetIndex(eigenIndex), probabilityIndices, firstDerivativeIndices,
secondDervativeIndices, edgeLengths, count);
//////////////////////////////////////////////////////
// for(int k =0;k<probabilityIndices.length;k++){
//
// double tmp[] = new double[4 * 4 * 4];
// beagle.getTransitionMatrix(probabilityIndices[k], // matrixIndex
// tmp // outMatrix
// );
//
// System.out.println(probabilityIndices[k]);
// EpochBranchSubstitutionModel.printMatrix(tmp, 4, 4);
// }
//////////////////////////////////////////////////////
}
public int getExtraBufferCount(TreeModel treeModel) {
// TODO Auto-generated method stub
return 0;
}
public void setFirstBuffer(int bufferCount) {
// TODO Auto-generated method stub
}
}