/* * AlloppNetworkPriorModel.java * * Copyright (c) 2002-2017 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.evomodel.alloppnet.speciation; import dr.evolution.util.Units; import dr.evomodel.alloppnet.parsers.AlloppNetworkPriorModelParser; import dr.inference.distribution.ParametricDistributionModel; import dr.inference.model.AbstractModel; import dr.inference.model.Model; import dr.inference.model.Parameter; import dr.inference.model.Variable; import dr.inference.model.Variable.ChangeType; /** * * Model for prior of an allopolyploid network. * * @author Graham Jones * Date: 01/07/2011 */ /* */ public class AlloppNetworkPriorModel extends AbstractModel implements Units { private Parameter rate; private Parameter popsf; private ParametricDistributionModel tpmodel; private ParametricDistributionModel rpmodel; private ParametricDistributionModel hpmodel; private Units.Type units; public AlloppNetworkPriorModel(Parameter eventrate, Parameter popscalingfactor, ParametricDistributionModel tippopmodel, ParametricDistributionModel rootpopmodel, ParametricDistributionModel hybpopmodel, Units.Type units) { super(AlloppNetworkPriorModelParser.ALLOPPNETWORKPRIORMODEL); this.rate = eventrate; this.popsf = popscalingfactor; this.tpmodel = tippopmodel; this.rpmodel = rootpopmodel; this.hpmodel = hybpopmodel; this.units = units; addVariable(rate); addVariable(popsf); } Parameter getRate() { return rate; } Parameter getPopScalingFactor() { return popsf; } ParametricDistributionModel getTipPopModel() { return tpmodel; } ParametricDistributionModel getRootPopModel() { return rpmodel; } ParametricDistributionModel getHybridPopModel() { return hpmodel; } @Override protected void handleModelChangedEvent(Model model, Object object, int index) { if (AlloppSpeciesNetworkModel.DBUGTUNE) System.out.println("AlloppNetworkPriorModel.handleModelChangedEvent() " + model.getId()); } @Override protected void handleVariableChangedEvent(Variable variable, int index, ChangeType type) { if (AlloppSpeciesNetworkModel.DBUGTUNE) System.out.println("AlloppNetworkPriorModel.handleModelChangedEvent() " + variable.getId()); } @Override protected void storeState() { // addVariable(rate), addVariable(popsf) deal with this if (AlloppSpeciesNetworkModel.DBUGTUNE) System.out.println("AlloppNetworkPriorModel.storeState()"); } @Override protected void restoreState() { // addVariable(rate), addVariable(popsf) deal with this if (AlloppSpeciesNetworkModel.DBUGTUNE) System.out.println("AlloppNetworkPriorModel.restoreState()"); } @Override protected void acceptState() { } public Type getUnits() { return units; } public void setUnits(Type units) { // grjtodo-oneday allow units other than substitutions } }