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Mathematical and statistical methods

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/*
 * This file is part of the repicea-mathstats library.
 *
 * Copyright (C) 2021-24 His Majesty the King in Right of Canada
 * Author: Mathieu Fortin, Canadian Forest Service
 *
 * This library 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 3 of the License, or (at your option) any later version.
 *
 * This library is distributed with 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.
 *
 * Please see the license at http://www.gnu.org/copyleft/lesser.html.
 */
package repicea.stats.estimators.mcmc;

import repicea.math.Matrix;

/**
 * A package class to handle the realizations of the Markov Chain.
 * @author Mathieu Fortin - November 2021
 */
class MetropolisHastingsSample implements Comparable {

	final Matrix parms;
	final double llk;
	
	MetropolisHastingsSample(Matrix parms, double lk) {
		this.parms = parms;
		this.llk = lk;
	}

	@Override
	public int compareTo(MetropolisHastingsSample arg0) {
		if (llk > arg0.llk) {
			return 1;
		} else if (llk < arg0.llk) {
			return -1;
		} else {
			return 0;
		}
	}

	@Override
	public String toString() {
		return "LLK=" + llk + ", " + parms.toString();
	}
	
}