/* * PiecewisePopulationModel.java * * Copyright (c) 2002-2015 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.coalescent; import dr.evolution.coalescent.DemographicFunction; import dr.evolution.coalescent.PiecewiseConstantPopulation; import dr.evolution.coalescent.PiecewiseExponentialPopulation; import dr.evolution.coalescent.PiecewiseLinearPopulation; import dr.inference.model.Model; import dr.inference.model.Parameter; import dr.inference.model.Statistic; /** * @author Alexei Drummond * @author Andrew Rambaut * @version $Id: PiecewisePopulationModel.java,v 1.13 2005/05/24 20:25:57 rambaut Exp $ */ public class PiecewisePopulationModel extends DemographicModel { // // Public stuff // /** * Construct demographic model with default settings */ public PiecewisePopulationModel(String name, Parameter N0Parameter, double[] epochLengths, boolean isLinear, Type units) { super(name); this.epochCount = epochLengths.length + 1; if (N0Parameter.getDimension() != epochCount) { throw new IllegalArgumentException( "epochSize parameter must have the same dimensions as the number of epochs: (" + epochCount + ") but instead has " + N0Parameter.getDimension() + "!" ); } this.N0Parameter = N0Parameter; addVariable(N0Parameter); N0Parameter.addBounds(new Parameter.DefaultBounds(Double.POSITIVE_INFINITY, 0.0, N0Parameter.getDimension())); //addVariable(epochLengths); //epochLengths.addBounds(new Parameter.DefaultBounds(Double.POSITIVE_INFINITY, 0.0, epochLengths.getDimension())); setUnits(units); if (isLinear) { piecewiseFunction = new PiecewiseLinearPopulation(epochLengths, new double[N0Parameter.getDimension()], units); } else { piecewiseFunction = new PiecewiseConstantPopulation(epochLengths, new double[N0Parameter.getDimension()], units); } } /** * Construct demographic model with default settings */ public PiecewisePopulationModel(String name, Parameter N0Parameter, Parameter growthRatesParameter, double[] epochLengths, Type units) { super(name); this.epochCount = epochLengths.length + 1; this.N0Parameter = N0Parameter; this.growthRatesParameter = growthRatesParameter; addVariable(N0Parameter); N0Parameter.addBounds(new Parameter.DefaultBounds(Double.POSITIVE_INFINITY, 0.0, N0Parameter.getDimension())); addVariable(growthRatesParameter); growthRatesParameter.addBounds(new Parameter.DefaultBounds(Double.POSITIVE_INFINITY, Double.NEGATIVE_INFINITY, growthRatesParameter.getDimension())); setUnits(units); int popSizeCount = N0Parameter.getDimension(); int growthRateCount = growthRatesParameter.getDimension(); if (popSizeCount == epochCount && growthRateCount == 1) { piecewiseFunction = new PiecewiseExponentialPopulation(epochLengths, new double[N0Parameter.getDimension()], growthRatesParameter.getParameterValue(0), units); } else if (popSizeCount == 1 && growthRateCount == epochCount) { piecewiseFunction = new PiecewiseExponentialPopulation(epochLengths, N0Parameter.getParameterValue(0), new double[growthRatesParameter.getDimension()], units); } else { if (growthRatesParameter.getDimension() != epochCount) { throw new IllegalArgumentException( "growthRate parameter must have the same dimension as the number of epochs: (" + epochCount + ") but instead has " + N0Parameter.getDimension() + "!" ); } } addStatistic(new GrowthRateStatistic()); } public DemographicFunction getDemographicFunction() { if (growthRatesParameter != null) { // exponential growth for (int i = 0; i < N0Parameter.getDimension(); i++) { piecewiseFunction.setArgument(i, N0Parameter.getParameterValue(i)); } for (int i = 0; i < growthRatesParameter.getDimension(); i++) { piecewiseFunction.setArgument(i + N0Parameter.getDimension(), growthRatesParameter.getParameterValue(i)); } } else { // constant or linear growth for (int i = 0; i < N0Parameter.getDimension(); i++) { piecewiseFunction.setArgument(i, N0Parameter.getParameterValue(i)); } } return piecewiseFunction; } // ************************************************************** // Model IMPLEMENTATION // ************************************************************** protected void handleModelChangedEvent(Model model, Object object, int index) { // no intermediates need to be recalculated... } protected void handleParameterChangedEvent(Parameter parameter, int index) { if (parameter == N0Parameter) { //System.out.println("popSize parameter changed.."); } // no intermediates need to be recalculated... } protected void storeState() { } // no additional state needs storing protected void restoreState() { } // no additional state needs restoring protected void acceptState() { } // no additional state needs accepting public class GrowthRateStatistic extends Statistic.Abstract { public GrowthRateStatistic() { super("growthRate"); } public int getDimension() { return ((PiecewiseExponentialPopulation) piecewiseFunction).getEpochCount(); } public double getStatisticValue(int i) { return ((PiecewiseExponentialPopulation) piecewiseFunction).getEpochGrowthRate(i); } } // // private stuff // private Parameter N0Parameter; private Parameter growthRatesParameter; private DemographicFunction piecewiseFunction = null; private final int epochCount; }