use of dr.evomodel.tree.TreeLengthStatistic in project beast-mcmc by beast-dev.
the class YuleModelTest method yuleTester.
// public void testYuleWithWideExchange() {
//
// TreeModel treeModel = new TreeModel("treeModel", tree);
// Doesn't compile...
// yuleTester(treeModel, ExchangeOperatorTest.getWideExchangeSchedule(treeModel));
// }
private void yuleTester(TreeModel treeModel, OperatorSchedule schedule) {
MCMC mcmc = new MCMC("mcmc1");
MCMCOptions options = new MCMCOptions(1000000);
TreeLengthStatistic tls = new TreeLengthStatistic(TL, treeModel);
TreeHeightStatistic rootHeight = new TreeHeightStatistic(TREE_HEIGHT, treeModel);
Parameter b = new Parameter.Default("b", 2.0, 0.0, Double.MAX_VALUE);
Parameter d = new Parameter.Default("d", 0.0, 0.0, Double.MAX_VALUE);
SpeciationModel speciationModel = new BirthDeathGernhard08Model(b, d, null, BirthDeathGernhard08Model.TreeType.TIMESONLY, Units.Type.YEARS);
Likelihood likelihood = new SpeciationLikelihood(treeModel, speciationModel, "yule.like");
ArrayLogFormatter formatter = new ArrayLogFormatter(false);
MCLogger[] loggers = new MCLogger[2];
loggers[0] = new MCLogger(formatter, 100, false);
loggers[0].add(likelihood);
loggers[0].add(rootHeight);
loggers[0].add(tls);
loggers[1] = new MCLogger(new TabDelimitedFormatter(System.out), 100000, false);
loggers[1].add(likelihood);
loggers[1].add(rootHeight);
loggers[1].add(tls);
mcmc.setShowOperatorAnalysis(true);
mcmc.init(options, likelihood, schedule, loggers);
mcmc.run();
List<Trace> traces = formatter.getTraces();
ArrayTraceList traceList = new ArrayTraceList("yuleModelTest", traces, 0);
for (int i = 1; i < traces.size(); i++) {
traceList.analyseTrace(i);
}
// expectation of root height for 4 tips and lambda = 2
// rootHeight = 0.541666
// TL = 1.5
TraceCorrelation tlStats = traceList.getCorrelationStatistics(traceList.getTraceIndex(TL));
assertExpectation(TL, tlStats, 1.5);
TraceCorrelation treeHeightStats = traceList.getCorrelationStatistics(traceList.getTraceIndex(TREE_HEIGHT));
assertExpectation(TREE_HEIGHT, treeHeightStats, 0.5416666);
}
use of dr.evomodel.tree.TreeLengthStatistic in project beast-mcmc by beast-dev.
the class RLYModelTest method randomLocalYuleTester.
private void randomLocalYuleTester(TreeModel treeModel, Parameter I, Parameter b, OperatorSchedule schedule) {
MCMC mcmc = new MCMC("mcmc1");
MCMCOptions options = new MCMCOptions(1000000);
TreeLengthStatistic tls = new TreeLengthStatistic(TL, treeModel);
TreeHeightStatistic rootHeight = new TreeHeightStatistic(TREE_HEIGHT, treeModel);
Parameter m = new Parameter.Default("m", 1.0, 0.0, Double.MAX_VALUE);
SpeciationModel speciationModel = new RandomLocalYuleModel(b, I, m, false, Units.Type.YEARS, 4);
Likelihood likelihood = new SpeciationLikelihood(treeModel, speciationModel, "randomYule.like");
ArrayLogFormatter formatter = new ArrayLogFormatter(false);
MCLogger[] loggers = new MCLogger[2];
loggers[0] = new MCLogger(formatter, 100, false);
loggers[0].add(likelihood);
loggers[0].add(rootHeight);
loggers[0].add(tls);
loggers[0].add(I);
loggers[1] = new MCLogger(new TabDelimitedFormatter(System.out), 100000, false);
loggers[1].add(likelihood);
loggers[1].add(rootHeight);
loggers[1].add(tls);
loggers[1].add(I);
mcmc.setShowOperatorAnalysis(true);
mcmc.init(options, likelihood, schedule, loggers);
mcmc.run();
List<Trace> traces = formatter.getTraces();
ArrayTraceList traceList = new ArrayTraceList("yuleModelTest", traces, 0);
for (int i = 1; i < traces.size(); i++) {
traceList.analyseTrace(i);
}
TraceCorrelation tlStats = traceList.getCorrelationStatistics(traceList.getTraceIndex("root." + birthRateIndicator));
System.out.println("mean = " + tlStats.getMean());
System.out.println("expected mean = 0.5");
assertExpectation("root." + birthRateIndicator, tlStats, 0.5);
}
use of dr.evomodel.tree.TreeLengthStatistic in project beast-mcmc by beast-dev.
the class TreeLengthStatisticParser method parseXMLObject.
public Object parseXMLObject(XMLObject xo) throws XMLParseException {
String name = xo.getAttribute(Statistic.NAME, xo.getId());
Tree tree = (Tree) xo.getChild(Tree.class);
return new TreeLengthStatistic(name, tree);
}
Aggregations