Java tutorial
/* * BirthDeathGernhard08Model.java * * Copyright (C) 2002-2009 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 beast.evolution.speciation; import static org.apache.commons.math.special.Gamma.logGamma; import java.util.Arrays; import beast.core.Citation; import beast.core.Description; import beast.core.Input; import beast.core.Input.Validate; import beast.core.parameter.RealParameter; import beast.evolution.tree.TreeInterface; /* Ported from Beast 1.6 * @author Joseph Heled * Date: 24/02/2008 */ @Description("Birth Death model based on Gernhard 2008. <br/>" + "This derivation conditions directly on fixed N taxa. <br/>" + "The inference is directly on b-d (strictly positive) and d/b (constrained in [0,1)) <br/>" + "Verified using simulated trees generated by Klass tree sample. (http://www.klaashartmann.com/treesample/) <br/>" + "Sampling proportion not verified via simulation. Proportion set by default to 1, an assignment which makes " + "the expressions identical to the expressions before the change.") @Citation(value = "Gernhard 2008. The conditioned reconstructed process. Journal of Theoretical Biology Volume 253, " + "Issue 4, 21 August 2008, Pages 769-778", DOI = "doi:10.1016/j.jtbi.2008.04.005", // (http://dx.doi.org/10.1016/j.jtbi.2008.04.005) year = 2008, firstAuthorSurname = "gernhard") public class BirthDeathGernhard08Model extends YuleModel { final static String[] TYPES = { "unscaled", "timesonly", "oriented", "labeled" }; final public Input<String> typeInput = new Input<>("type", "tree type, should be one of " + Arrays.toString(TYPES) + " (default unscaled)", "unscaled", TYPES); final public Input<RealParameter> relativeDeathRateParameterInput = new Input<>("relativeDeathRate", "relative death rate parameter, mu/lambda in birth death model", Validate.REQUIRED); final public Input<RealParameter> sampleProbabilityInput = new Input<>("sampleProbability", "sample probability, rho in birth/death model"); @Override public void initAndValidate() { super.initAndValidate(); final String typeName = typeInput.get().toLowerCase(); if (typeName.equals("unscaled")) { type = TreeType.UNSCALED; } else if (typeName.equals("timesonly")) { type = TreeType.TIMESONLY; } else if (typeName.equals("oriented")) { type = TreeType.ORIENTED; } else if (typeName.equals("labeled")) { type = TreeType.LABELED; } else { throw new IllegalArgumentException("type '" + typeName + "' is not recognized. Should be one of unscaled, timesonly, oriented and labeled."); } } @Override public double calculateTreeLogLikelihood(final TreeInterface tree) { final double a = relativeDeathRateParameterInput.get().getValue(); final double rho = (sampleProbabilityInput.get() == null ? 1.0 : sampleProbabilityInput.get().getValue()); return calculateTreeLogLikelihood(tree, rho, a); } private TreeType type; public enum TreeType { UNSCALED, // no coefficient TIMESONLY, // n! ORIENTED, // n LABELED, // 2^(n-1)/(n-1)! // conditional on root: 2^(n-1)/n!(n-1) // conditional on origin: 2^(n-1)/n! } /** * scaling coefficient of tree * */ @Override protected double logCoeff(final int taxonCount) { switch (type) { case UNSCALED: break; case TIMESONLY: return logGamma(taxonCount + 1); case ORIENTED: return Math.log(taxonCount); case LABELED: { final double two2nm1 = (taxonCount - 1) * Math.log(2.0); if (conditionalOnRoot) { return two2nm1 - Math.log(taxonCount - 1) - logGamma(taxonCount + 1); } else if (conditionalOnOrigin) { return two2nm1 - logGamma(taxonCount + 1); } else { return two2nm1 - logGamma(taxonCount); } } } return 0.0; } // @Override // public boolean includeExternalNodesInLikelihoodCalculation() { // return true; // } @Override protected boolean requiresRecalculation() { return super.requiresRecalculation() || relativeDeathRateParameterInput.get().somethingIsDirty() || sampleProbabilityInput.get().somethingIsDirty(); } } // class BirthDeathGernhard08Model