/*
* RandomWalkIntegerSetSizeWeightedOperator.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.operators;
import dr.evolution.tree.NodeRef;
import dr.evomodel.tree.MicrosatelliteSamplerTreeModel;
import dr.evomodel.tree.TreeModel;
import dr.inference.model.Parameter;
import dr.evomodelxml.operators.RandomWalkIntegerNodeHeightWeightedOperatorParser;
import dr.inference.operators.RandomWalkIntegerOperator;
import dr.math.MathUtils;
/**
* @author Chieh-Hsi Wu
*
* The probability that an index of the internal states parameter picked
* is weighted by the number of plausible states of a node given the states of its children.
*/
public class RandomWalkIntegerSetSizeWeightedOperator extends RandomWalkIntegerOperator {
private MicrosatelliteSamplerTreeModel msatSampleTreeModel;
private double[] weights;
private double baseSetSize;
public RandomWalkIntegerSetSizeWeightedOperator(
Parameter parameter,
int windowSize,
double weight,
MicrosatelliteSamplerTreeModel msatSampleTreeModel,
double baseIntervalSize){
super(parameter, windowSize, weight);
this.msatSampleTreeModel = msatSampleTreeModel;
this.baseSetSize = baseIntervalSize;
}
private void computeSampleWeights(){
TreeModel tree = msatSampleTreeModel.getTreeModel();
int intNodeCount = tree.getInternalNodeCount();
int extNodeCount = tree.getExternalNodeCount();
weights = new double[intNodeCount];
for(int i = 0 ; i < intNodeCount; i++){
NodeRef node = tree.getNode(i+extNodeCount);
int lcState = msatSampleTreeModel.getNodeValue(tree.getChild(node, 0));
int rcState = msatSampleTreeModel.getNodeValue(tree.getChild(node, 1));
weights[i] = Math.abs(lcState-rcState)+baseSetSize;
}
}
public double doOperation() {
computeSampleWeights();
// a random dimension to perturb
int index = MathUtils.randomChoicePDF(weights);
int newValue = calculateNewValue(index);
parameter.setValue(index, newValue);
return 0.0;
}
//MCMCOperator INTERFACE
public String getOperatorName() {
return "randomWalkIntegerSetSizeWeighted(" + parameter.getId() + ")";
}
public double getTargetAcceptanceProbability() {
return 0.234;
}
public double getMinimumAcceptanceLevel() {
return 0.1;
}
public double getMaximumAcceptanceLevel() {
return 0.4;
}
public double getMinimumGoodAcceptanceLevel() {
return 0.20;
}
public double getMaximumGoodAcceptanceLevel() {
return 0.30;
}
public String toString() {
return RandomWalkIntegerNodeHeightWeightedOperatorParser.RANDOM_WALK_INT_NODE_HEIGHT_WGT_OP + "(" + parameter.getId() + ", " + windowSize + ", " + getWeight() + ")";
}
}