/*
 * Distribution.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.math.distributions;

import dr.math.UnivariateFunction;

/**
 * an interface for a distribution.
 *
 * @author Alexei Drummond
 * @author Andrew Rambaut
 * @version $Id: Distribution.java,v 1.7 2005/05/24 20:26:00 rambaut Exp $
 */
public interface Distribution {
    /**
     * probability density function of the distribution
     *
     * @param x argument
     * @return pdf value
     */
    public double pdf(double x);

    /**
     * the natural log of the probability density function of the distribution
     *
     * @param x argument
     * @return log pdf value
     */
    public double logPdf(double x);

    /**
     * cumulative density function of the distribution
     *
     * @param x argument
     * @return cdf value
     */
    public double cdf(double x);

    /**
     * quantile (inverse cumulative density function) of the distribution
     *
     * @param y argument
     * @return icdf value
     */
    public double quantile(double y);

    /**
     * mean of the distribution
     *
     * @return mean
     */
    public double mean();

    /**
     * variance of the distribution
     *
     * @return variance
     */
    public double variance();

    /**
     * @return a probability density function representing this distribution
     */
    public UnivariateFunction getProbabilityDensityFunction();

}
