package test.dr.evomodel.substmodel; import dr.evolution.alignment.SitePatterns; import dr.evolution.datatype.GeneralDataType; 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.GeneralSubstitutionModel; import dr.oldevomodel.treelikelihood.TreeLikelihood; import dr.oldevomodelxml.sitemodel.GammaSiteModelParser; import dr.oldevomodelxml.substmodel.GeneralSubstitutionModelParser; 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.ArrayList; import java.util.List; /** * @author Walter Xie * convert testGeneralSubstitutionModel.xml in the folder /example */ public class GeneralSubstitutionModelTest extends TraceCorrelationAssert { private GeneralDataType dataType; public GeneralSubstitutionModelTest(String name) { super(name); } public void setUp() throws Exception { super.setUp(); MathUtils.setSeed(666); List<String> states = new ArrayList<String>(); states.add("A"); states.add("C"); states.add("G"); states.add("T"); //states.addAll(Arrays.asList("A", "C", "G", "T")); dataType = new GeneralDataType(states); dataType.addAmbiguity("-", new String[] {"A", "C", "G", "T"}); dataType.addAmbiguity("?", new String[] {"A", "C", "G", "T"}); createAlignment(PRIMATES_TAXON_SEQUENCE, dataType); createRandomInitialTree(0.0001); // popSize // createSpecifiedTree("(((((chimp:0.010464222027296717,bonobo:0.010464222027296717):0.010716369046616688," + // "human:0.021180591073913405):0.010988083344422011,gorilla:0.032168674418335416):0.022421978632286572," + // "orangutan:0.05459065305062199):0.009576302472349953,siamang:0.06416695552297194);"); } public void testGeneralSubstitutionModel() { // Sub model FrequencyModel freqModel = new FrequencyModel(dataType, alignment.getStateFrequencies()); Parameter ratesPara = new Parameter.Default(GeneralSubstitutionModelParser.RATES, 5, 1.0); // dimension="5" value="1.0" GeneralSubstitutionModel generalSubstitutionModel = new GeneralSubstitutionModel(dataType, freqModel, ratesPara, 4); // relativeTo="5" //siteModel GammaSiteModel siteModel = new GammaSiteModel(generalSubstitutionModel); 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(ratesPara, 0.5); operator.setWeight(1.0); schedule.addOperator(operator); 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(ratesPara); loggers[1] = new MCLogger(new TabDelimitedFormatter(System.out), 100000, false); loggers[1].add(treeLikelihood); loggers[1].add(rootHeight); loggers[1].add(ratesPara); // 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("GeneralSubstitutionModelTest", 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="rateAC" value="6.08986E-2"/> 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, 0.0640787258170083); TraceCorrelation rateACStats = traceList.getCorrelationStatistics(traceList.getTraceIndex(GeneralSubstitutionModelParser.RATES + "1")); assertExpectation(GeneralSubstitutionModelParser.RATES + "1", rateACStats, 0.061071756742081366); } public static Test suite() { return new TestSuite(GeneralSubstitutionModelTest.class); } }