/*
* ContinuousBranchRates.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.branchratemodel;
import dr.evolution.tree.NodeRef;
import dr.evolution.tree.Tree;
import dr.evomodel.tree.TreeModel;
import dr.evomodel.tree.TreeParameterModel;
import dr.evomodelxml.branchratemodel.ContinuousBranchRatesParser;
import dr.inference.distribution.ParametricDistributionModel;
import dr.inference.model.*;
import dr.math.MathUtils;
/**
*
* Uses the implementation of continuous branch rates described in:
* Li, W.L.S. and A.J. Drummond, Model Averaging and Bayes Factor
* Calculation of Relaxed Molecular Clocks in Bayesian Phylogenetics.
* Molecular Biology and Evolution, 2012. 29(2): p. 751-761.
*
* @author Wai Lok Sibon Li
* @version $Id: ContinuousBranchRates.java,v 1.11 2006/01/09 17:44:30 rambaut Exp $
*/
public class ContinuousBranchRates extends AbstractBranchRateModel {
private final ParametricDistributionModel distributionModel;
// The rate quantiles of each branch
final TreeParameterModel rateCategoryQuantiles;
private final double[] rates;
private boolean normalize = false;
private double normalizeBranchRateTo = Double.NaN;
private double scaleFactor = 1.0;
private TreeModel treeModel;
private boolean updateScaleFactor = false;
private boolean updateRates = true;
public ContinuousBranchRates(
TreeModel tree,
Parameter rateCategoryQuantilesParameter,
ParametricDistributionModel model) {
this(tree, rateCategoryQuantilesParameter, model, false, Double.NaN);
}
public ContinuousBranchRates(
TreeModel tree,
Parameter rateCategoryQuantilesParameter,
ParametricDistributionModel model,
boolean normalize,
double normalizeBranchRateTo) {
super(ContinuousBranchRatesParser.CONTINUOUS_BRANCH_RATES);
this.rateCategoryQuantiles = new TreeParameterModel(tree, rateCategoryQuantilesParameter, false);
rates = new double[tree.getNodeCount()];
this.normalize = normalize;
this.treeModel = tree;
this.distributionModel = model;
this.normalizeBranchRateTo = normalizeBranchRateTo;
Parameter.DefaultBounds bound = new Parameter.DefaultBounds(1.0, 0.0, rateCategoryQuantilesParameter.getDimension());
rateCategoryQuantilesParameter.addBounds(bound);
randomizeRates();
addModel(model);
addModel(rateCategoryQuantiles);
if (normalize) {
// if we want to normalize the rates then we need to listen for changes on the tree
addModel(treeModel);
updateScaleFactor = true;
}
updateRates = true;
}
public void handleModelChangedEvent(Model model, Object object, int index) {
if (model == distributionModel) {
updateRates = true;
fireModelChanged();
} else if (model == rateCategoryQuantiles) {
updateRates = true;
fireModelChanged(null, index);
} else if (model == treeModel && normalize) {
updateScaleFactor = true;
}
}
protected final void handleVariableChangedEvent(Variable variable, int index, Parameter.ChangeType type) {
}
protected void storeState() {
}
protected void restoreState() {
updateRates = true;
}
protected void acceptState() {
}
public double getBranchRate(final Tree tree, final NodeRef node) {
assert !tree.isRoot(node) : "root node doesn't have a rate!";
if (updateRates) {
computeRates();
}
if (updateScaleFactor) {
computeFactor();
}
return rates[node.getNumber()] * scaleFactor;
}
/**
* Calculates the actual rates corresponding to the quantiles.
*/
private void randomizeRates() {
for (int i = 0; i < treeModel.getNodeCount(); i++) {
if (!treeModel.isRoot(treeModel.getNode(i))) {
double r = MathUtils.nextDouble();
rateCategoryQuantiles.setNodeValue(treeModel, treeModel.getNode(i), r);
}
}
updateRates = false;
}
/**
* Calculates the actual rates corresponding to the quantiles.
*/
private void computeRates() {
for (int i = 0; i < treeModel.getNodeCount(); i++) {
if (!treeModel.isRoot(treeModel.getNode(i))) {
rates[treeModel.getNode(i).getNumber()] = distributionModel.quantile(rateCategoryQuantiles.getNodeValue(treeModel, treeModel.getNode(i)));
}
}
updateRates = false;
}
// compute scale factor
private void computeFactor() {
//scale mean rate to 1.0 or separate parameter
double treeRate = 0.0;
double treeTime = 0.0;
for (int i = 0; i < treeModel.getNodeCount(); i++) {
NodeRef node = treeModel.getNode(i);
if (!treeModel.isRoot(node)) {
treeTime += treeModel.getBranchLength(node);
}
}
scaleFactor = normalizeBranchRateTo / (treeRate / treeTime);
updateScaleFactor = false;
}
}