/*
* ProductStatistic.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.inference.model;
import java.util.ArrayList;
import java.util.List;
/**
* @author Alexei Drummond
* @author Andrew Rambaut
* @version $Id: ProductStatistic.java,v 1.2 2005/05/24 20:26:00 rambaut Exp $
*/
public class ProductStatistic extends Statistic.Abstract {
private int dimension = 0;
private final boolean elementwise;
public ProductStatistic(String name, boolean elementwise) {
super(name);
this.elementwise = elementwise;
}
public void addStatistic(Statistic statistic) {
if (!elementwise) {
if (dimension == 0) {
dimension = statistic.getDimension();
} else if (dimension != statistic.getDimension()) {
throw new IllegalArgumentException();
}
} else {
dimension = 1;
}
statistics.add(statistic);
}
public int getDimension() {
return dimension;
}
/**
* @return mean of contained statistics
*/
public double getStatisticValue(int dim) {
double product = 1.0;
for (Statistic statistic : statistics) {
if (elementwise) {
for (int j = 0; j < statistic.getDimension(); j++) {
product *= statistic.getStatisticValue(j);
}
} else {
product *= statistic.getStatisticValue(dim);
}
}
return product;
}
// ****************************************************************
// Private and protected stuff
// ****************************************************************
private final List<Statistic> statistics = new ArrayList<Statistic>();
}