package dr.evomodel.antigenic.phyloClustering.statistics;
import java.util.LinkedList;
import dr.evolution.tree.NodeRef;
import dr.evomodel.tree.TreeModel;
import dr.inference.model.*;
import dr.xml.*;
/**
* @author Charles Cheung
* @author Trevor Bedford
*/
public class DriftedMuStatistic extends Statistic.Abstract implements VariableListener {
static int MAX_DIM = 30;
private MatrixParameter mu;
private TreeModel treeModel;
private Parameter indicators;
// private Parameter locationDrift;
private Parameter mu1ScaleParameter;
private Parameter mu2ScaleParameter;
private Parameter muMeanParameter;
public static final String DRIFTED_MU_STATISTIC = "DriftedMuStatistic";
// public DriftedMuStatistic( TreeModel tree, MatrixParameter mu, Parameter indicators, Parameter locationDrift) {
public DriftedMuStatistic( TreeModel tree, MatrixParameter mu, Parameter indicators, Parameter mu1Scale, Parameter mu2Scale, Parameter muMean) {
this.treeModel = tree;
this.mu = mu;
this.indicators = indicators;
// this.locationDrift = locationDrift;
this.mu1ScaleParameter = mu1Scale;
mu1ScaleParameter.addParameterListener(this);
this.mu2ScaleParameter = mu2Scale;
mu2ScaleParameter.addParameterListener(this);
this.muMeanParameter = muMean;
muMeanParameter.addParameterListener(this);
mu.addParameterListener(this);
indicators.addParameterListener(this);
//locationDrift.addParameterListener(this);
}
public int getDimension() {
return treeModel.getNodeCount()*2;
}
//assume print in order... so before printing the first number,
//determine all the nodes that are active.
public double getStatisticValue(int dim) {
int curNode = dim/2;
double value = mu.getParameter(curNode).getParameterValue(dim % 2);
//if((int) indicators.getParameterValue(curNode) == 0){
// value = 0;
//}
if( dim % 2 == 0 ){
//value = value * locationDrift.getParameterValue(0) ;
value = value * mu1ScaleParameter.getParameterValue(0);
}
else{
value = value * mu2ScaleParameter.getParameterValue(0);
}
return ( value );
}
public String getDimensionName(int dim) {
String name = "mu_" + ((dim/2) ) + "-" + ((dim %2 ) +1 );
return name;
}
public void variableChangedEvent(Variable variable, int index, Parameter.ChangeType type) {
// do nothing
//System.out.println("hi got printed");
}
public static XMLObjectParser PARSER = new AbstractXMLObjectParser() {
public final static String MU_STRING = "mu";
public final static String INDICATORS_STRING = "indicators";
// public final static String LOCATION_DRIFT = "locationDrift";
public final static String MU1_SCALE_PARAMETER = "mu1Scale";
public final static String MU2_SCALE_PARAMETER = "mu2Scale";
public final static String MU_MEAN_PARAMETER = "muMean";
public String getParserName() {
return DRIFTED_MU_STATISTIC;
}
public Object parseXMLObject(XMLObject xo) throws XMLParseException {
TreeModel treeModel = (TreeModel) xo.getChild(TreeModel.class);
MatrixParameter muParam = (MatrixParameter) xo.getElementFirstChild(MU_STRING);
Parameter indicators = (Parameter) xo.getElementFirstChild(INDICATORS_STRING);
//Parameter locationDrift = (Parameter) xo.getElementFirstChild(LOCATION_DRIFT);
Parameter mu1Scale = null;
if (xo.hasChildNamed(MU1_SCALE_PARAMETER)) {
mu1Scale = (Parameter) xo.getElementFirstChild(MU1_SCALE_PARAMETER);
}
Parameter mu2Scale = null;
if (xo.hasChildNamed(MU2_SCALE_PARAMETER)) {
mu2Scale = (Parameter) xo.getElementFirstChild(MU2_SCALE_PARAMETER);
}
Parameter muMean = null;
if(xo.hasChildNamed(MU_MEAN_PARAMETER)){
muMean = (Parameter) xo.getElementFirstChild(MU_MEAN_PARAMETER);
}
//return new DriftedMuStatistic( treeModel, muParam, indicators, locationDrift);
return new DriftedMuStatistic( treeModel, muParam, indicators, mu1Scale, mu2Scale, muMean);
}
//************************************************************************
// AbstractXMLObjectParser implementation
//************************************************************************
public String getParserDescription() {
return "This element returns a statistic that shifts a matrix of locations by location drift in the first dimension.";
}
public Class getReturnType() {
return DriftedMuStatistic.class;
}
public XMLSyntaxRule[] getSyntaxRules() {
return rules;
}
private XMLSyntaxRule[] rules = new XMLSyntaxRule[]{
new ElementRule(TreeModel.class),
new ElementRule(MU_STRING, Parameter.class),
new ElementRule(INDICATORS_STRING, Parameter.class),
//new ElementRule(LOCATION_DRIFT, Parameter.class)
new ElementRule(MU1_SCALE_PARAMETER, Parameter.class, "Optional parameter for scaling the first dimension of mu"),
new ElementRule(MU2_SCALE_PARAMETER, Parameter.class, "Optional parameter for scaling the second dimension of mu"),
new ElementRule(MU_MEAN_PARAMETER, Parameter.class)
};
};
}