/*
* ExponentialParameterPrior.java
*
* Copyright (C) 2002-2006 Alexei Drummond and Andrew Rambaut
*
* 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.prior;
//
//import dr.inference.model.Parameter;
//import org.w3c.dom.Document;
//import org.w3c.dom.Element;
/**
* This prior provides an exponential expectation on a single parameter
* @author Alexei Drummond
* @version $Id: ExponentialParameterPrior.java,v 1.5 2005/05/24 20:26:00 rambaut Exp $
*/
//public class ExponentialParameterPrior extends AbstractParameterPrior {
//
// /**
// * the mean of the exponential distribution.
// */
// double mean;
//
// public ExponentialParameterPrior(Parameter parameter, double mean) {
// this(parameter, -1, mean);
// }
//
// public ExponentialParameterPrior(Parameter parameter, int dimension, double mean) {
// this.mean = mean;
// setParameter(parameter);
// setDimension(dimension);
// }
//
// public double getLogPriorComponent(double value) {
// return - value / mean;
// }
//
// public Element createElement(Document d) {
// Element e = d.createElement("exponentialPrior");
// e.setAttribute("mean", mean + "");
// return e;
// }
//
// public final double getMean() { return mean; }
//
// public String toString() {
// return "Exponential(" + formatter.format(mean).trim() + ")";
// }
//
// public String toHTML() {
// return "<font color=\"#FF00FF\">Exponential(" + formatter.format(mean).trim() + ")</font>";
// }
//}