package test.dr.inference.mcmc; import dr.evolution.alignment.SitePatterns; import dr.evolution.datatype.Nucleotides; import dr.evomodel.operators.ExchangeOperator; import dr.evomodel.operators.SubtreeSlideOperator; import dr.evomodel.operators.WilsonBalding; import dr.oldevomodel.sitemodel.GammaSiteModel; import dr.oldevomodel.substmodel.FrequencyModel; import dr.oldevomodel.substmodel.HKY; import dr.oldevomodel.treelikelihood.TreeLikelihood; import dr.oldevomodelxml.sitemodel.GammaSiteModelParser; import dr.oldevomodelxml.substmodel.HKYParser; import dr.oldevomodelxml.treelikelihood.TreeLikelihoodParser; import dr.inference.loggers.ArrayLogFormatter; import dr.inference.loggers.MCLogger; import dr.inference.loggers.TabDelimitedFormatter; import dr.inference.mcmc.MCMC; import dr.inference.mcmc.MCMCOptions; import dr.inference.model.Parameter; import dr.inference.operators.*; import dr.inference.trace.ArrayTraceList; import dr.inference.trace.Trace; import dr.inference.trace.TraceCorrelation; import dr.math.MathUtils; import junit.framework.Test; import junit.framework.TestSuite; import test.dr.inference.trace.TraceCorrelationAssert; import java.util.List; /** * @author Walter Xie * convert testMCMC.xml in the folder /example */ public class MCMCTest extends TraceCorrelationAssert { public MCMCTest(String name) { super(name); } public void setUp() throws Exception { super.setUp(); MathUtils.setSeed(666); createAlignment(PRIMATES_TAXON_SEQUENCE, Nucleotides.INSTANCE); createRandomInitialTree(0.0001); // popSize // createSpecifiedTree("((((human:0.02124198428146588,(bonobo:0.010505698073024256,chimp:0.010505698073024256)" + // ":0.010736286208441624):0.011019735965429791,gorilla:0.03226172024689567):0.022501552046463147," + // "orangutan:0.05476327229335882):0.009440823865408586,siamang:0.0642040961587674);"); } public void testMCMC() { // Sub model Parameter freqs = new Parameter.Default(alignment.getStateFrequencies());//new double[]{0.25, 0.25, 0.25, 0.25}); Parameter kappa = new Parameter.Default(HKYParser.KAPPA, 1.0, 1.0E-8, Double.POSITIVE_INFINITY); FrequencyModel f = new FrequencyModel(Nucleotides.INSTANCE, freqs); HKY hky = new HKY(kappa, f); //siteModel GammaSiteModel siteModel = new GammaSiteModel(hky); Parameter mu = new Parameter.Default(GammaSiteModelParser.MUTATION_RATE, 1.0, 0, Double.POSITIVE_INFINITY); siteModel.setMutationRateParameter(mu); //treeLikelihood SitePatterns patterns = new SitePatterns(alignment, null, 0, -1, 1, true); TreeLikelihood treeLikelihood = new TreeLikelihood(patterns, treeModel, siteModel, null, null, false, false, true, false, false); treeLikelihood.setId(TreeLikelihoodParser.TREE_LIKELIHOOD); // Operators OperatorSchedule schedule = new SimpleOperatorSchedule(); MCMCOperator operator = new ScaleOperator(kappa, 0.5); operator.setWeight(1.0); schedule.addOperator(operator); // Parameter rootParameter = treeModel.createNodeHeightsParameter(true, false, false); // ScaleOperator scaleOperator = new ScaleOperator(rootParameter, 0.75, CoercionMode.COERCION_ON, 1.0); Parameter rootHeight = treeModel.getRootHeightParameter(); rootHeight.setId(TREE_HEIGHT); operator = new ScaleOperator(rootHeight, 0.5); operator.setWeight(1.0); schedule.addOperator(operator); Parameter internalHeights = treeModel.createNodeHeightsParameter(false, true, false); operator = new UniformOperator(internalHeights, 10.0); schedule.addOperator(operator); operator = new SubtreeSlideOperator(treeModel, 1, 1, true, false, false, false, CoercionMode.COERCION_ON); schedule.addOperator(operator); operator = new ExchangeOperator(ExchangeOperator.NARROW, treeModel, 1.0); // operator.doOperation(); schedule.addOperator(operator); operator = new ExchangeOperator(ExchangeOperator.WIDE, treeModel, 1.0); // operator.doOperation(); schedule.addOperator(operator); operator = new WilsonBalding(treeModel, 1.0); // operator.doOperation(); schedule.addOperator(operator); // Log ArrayLogFormatter formatter = new ArrayLogFormatter(false); MCLogger[] loggers = new MCLogger[2]; loggers[0] = new MCLogger(formatter, 1000, false); loggers[0].add(treeLikelihood); loggers[0].add(rootHeight); loggers[0].add(kappa); loggers[1] = new MCLogger(new TabDelimitedFormatter(System.out), 100000, false); loggers[1].add(treeLikelihood); loggers[1].add(rootHeight); loggers[1].add(kappa); // MCMC MCMC mcmc = new MCMC("mcmc1"); MCMCOptions options = new MCMCOptions(10000000); mcmc.setShowOperatorAnalysis(true); mcmc.init(options, treeLikelihood, schedule, loggers); mcmc.run(); // time System.out.println(mcmc.getTimer().toString()); // Tracer List<Trace> traces = formatter.getTraces(); ArrayTraceList traceList = new ArrayTraceList("MCMCTest", traces, 0); for (int i = 1; i < traces.size(); i++) { traceList.analyseTrace(i); } // <expectation name="likelihood" value="-1815.75"/> // <expectation name="treeModel.rootHeight" value="6.42048E-2"/> // <expectation name="hky.kappa" value="32.8941"/> TraceCorrelation likelihoodStats = traceList.getCorrelationStatistics(traceList.getTraceIndex(TreeLikelihoodParser.TREE_LIKELIHOOD)); assertExpectation(TreeLikelihoodParser.TREE_LIKELIHOOD, likelihoodStats, -1815.75); TraceCorrelation treeHeightStats = traceList.getCorrelationStatistics(traceList.getTraceIndex(TREE_HEIGHT)); assertExpectation(TREE_HEIGHT, treeHeightStats, 6.42048E-2); TraceCorrelation kappaStats = traceList.getCorrelationStatistics(traceList.getTraceIndex(HKYParser.KAPPA)); assertExpectation(HKYParser.KAPPA, kappaStats, 32.8941); } public static Test suite() { return new TestSuite(MCMCTest.class); } }