use of beast.evolution.tree.Tree in project beast2 by CompEvol.
the class TreeLikelihoodTest method testJC69LikelihoodWithUncertainCharacters.
@Test
public void testJC69LikelihoodWithUncertainCharacters() throws Exception {
Alignment data = UncertainAlignmentTest.getAlignment();
Alignment data2 = UncertainAlignmentTest.getUncertainAlignment();
double[] logL, logL_uncertain;
System.out.println("\nTree A:");
Tree tree = UncertainAlignmentTest.getTreeA(data2);
logL = testJC69Likelihood(data, tree);
logL_uncertain = testJC69Likelihood(data2, tree);
double x1 = -11.853202336328778;
double x2 = -12.069603116476458;
assertEquals(logL[0], x1, BEASTTestCase.PRECISION);
assertEquals(logL[1], x1, BEASTTestCase.PRECISION);
assertEquals(logL_uncertain[0], x1, BEASTTestCase.PRECISION);
assertEquals(logL_uncertain[1], x2, BEASTTestCase.PRECISION);
System.out.println("\nTree B:");
tree = UncertainAlignmentTest.getTreeB(data2);
logL = testJC69Likelihood(data, tree);
logL_uncertain = testJC69Likelihood(data2, tree);
double x3 = -12.421114302827698;
double x4 = -11.62105662310513;
assertEquals(logL[0], x3, BEASTTestCase.PRECISION);
assertEquals(logL[1], x3, BEASTTestCase.PRECISION);
assertEquals(logL_uncertain[0], x3, BEASTTestCase.PRECISION);
assertEquals(logL_uncertain[1], x4, BEASTTestCase.PRECISION);
System.out.println("\nTesting alignment doubling:");
Alignment data3 = UncertainAlignmentTest.getUncertainAlignmentDoubled();
logL_uncertain = testJC69Likelihood(data3, tree);
assertEquals(logL_uncertain[0], 2 * x3, BEASTTestCase.PRECISION);
assertEquals(logL_uncertain[1], 2 * x4, BEASTTestCase.PRECISION);
}
use of beast.evolution.tree.Tree in project beast2 by CompEvol.
the class TreeLikelihoodTest method testHKY85GILikelihood.
@Test
public void testHKY85GILikelihood() throws Exception {
// Set up HKY85+G+I model: estimated freqs, kappa = 39.464538, 4 gamma categories, shape = 0.587649, prop invariant = 0.486548
Alignment data = BEASTTestCase.getAlignment();
Tree tree = BEASTTestCase.getTree(data);
Frequencies freqs = new Frequencies();
freqs.initByName("data", data);
HKY hky = new HKY();
hky.initByName("kappa", "39.464538", "frequencies", freqs);
SiteModel siteModel = new SiteModel();
siteModel.initByName("mutationRate", "1.0", "gammaCategoryCount", 4, "shape", "0.587649", "proportionInvariant", "0.486548", "substModel", hky);
TreeLikelihood likelihood = newTreeLikelihood();
likelihood.initByName("data", data, "tree", tree, "siteModel", siteModel);
double logP = 0;
logP = likelihood.calculateLogP();
assertEquals(logP, -1789.639227747059, BEASTTestCase.PRECISION);
likelihood.initByName("useAmbiguities", true, "data", data, "tree", tree, "siteModel", siteModel);
logP = likelihood.calculateLogP();
assertEquals(logP, -1789.639227747059, BEASTTestCase.PRECISION);
}
use of beast.evolution.tree.Tree in project beast2 by CompEvol.
the class TreeLikelihoodTest method testMarginalisationOfLikelihoodBinary.
@Test
public void testMarginalisationOfLikelihoodBinary() throws Exception {
// test summation over all patterns adds to 1 for binary data
Sequence German_ST = new Sequence("German_ST", " 10110010");
Sequence Dutch_List = new Sequence("Dutch_List", " 11010100");
Sequence English_ST = new Sequence("English_ST", " 11101000");
Alignment data = new Alignment();
data.initByName("sequence", German_ST, "sequence", Dutch_List, "sequence", English_ST, "dataType", "binary");
Tree tree = BEASTTestCase.getTree(data, "(English_ST:0.22743347188019544,(German_ST:0.10557648379843088,Dutch_List:0.10557648379843088):0.12185698808176457):0.0;");
RealParameter frequencies = new RealParameter("0.683 0.317");
Frequencies freqs = new Frequencies();
freqs.initByName("frequencies", frequencies);
GeneralSubstitutionModel covarion = new GeneralSubstitutionModel();
covarion.initByName("frequencies", freqs, "rates", new RealParameter("1.0 1.0"));
SiteModel siteModel = new SiteModel();
siteModel.initByName("mutationRate", "1.0", "gammaCategoryCount", 1, "substModel", covarion);
TreeLikelihood likelihood = newTreeLikelihood();
likelihood.initByName("data", data, "tree", tree, "siteModel", siteModel);
likelihood.initByName("useAmbiguities", false, "data", data, "tree", tree, "siteModel", siteModel);
likelihood.calculateLogP();
double[] logPs = likelihood.getPatternLogLikelihoods();
double P = 0;
for (double d : logPs) {
P += Math.exp(d);
}
assertEquals(P, 1.0, BEASTTestCase.PRECISION);
}
use of beast.evolution.tree.Tree in project beast2 by CompEvol.
the class TreeLikelihoodTest method testBeagleRNALikelihood.
/**
* Test only effective when BEAGLE installed - otherwise it will always
* pass since BEAGLE code will never be run.
*
* @throws Exception
*/
@Test
public void testBeagleRNALikelihood() throws Exception {
Sequence seq1 = new Sequence("t1", "GUACGUACGUAC");
Sequence seq2 = new Sequence("t2", "UACGUACGUACG");
Sequence seq3 = new Sequence("t3", "ACGUACGUACGU");
Alignment data = new Alignment();
data.initByName("sequence", seq1, "sequence", seq2, "sequence", seq3, "dataType", "nucleotide");
Tree tree = BEASTTestCase.getTree(data, "((t1:0.5,t2:0.5):0.5,t3:1.0):0.0;");
SiteModel siteModel = new SiteModel();
siteModel.initByName("gammaCategoryCount", 1, "substModel", new JukesCantor());
TreeLikelihood likelihoodNoBeagle = newTreeLikelihood();
likelihoodNoBeagle.initByName("data", data, "tree", tree, "siteModel", siteModel);
double logLnoBeagle = likelihoodNoBeagle.calculateLogP();
System.setProperty("java.only", "false");
TreeLikelihood likelihoodBeagle = new TreeLikelihood();
likelihoodBeagle.initByName("data", data, "tree", tree, "siteModel", siteModel);
double logLBeagle = likelihoodBeagle.calculateLogP();
assertEquals(logLBeagle, logLnoBeagle, BEASTTestCase.PRECISION);
}
use of beast.evolution.tree.Tree in project beast2 by CompEvol.
the class TreeLikelihoodTest method testSDolloLikelihood.
@Test
public void testSDolloLikelihood() throws Exception {
UserDataType dataType = new UserDataType();
dataType.initByName("states", 2, "codeMap", "0=1, 1=0, ?=0 1, -=0 1");
Alignment data = new Alignment();
Sequence German_ST = new Sequence("German_ST", BEASTTestCase.German_ST.dataInput.get());
Sequence Dutch_List = new Sequence("Dutch_List", BEASTTestCase.Dutch_List.dataInput.get());
;
Sequence English_ST = new Sequence("English_ST", BEASTTestCase.English_ST.dataInput.get());
;
Sequence French = new Sequence("French", BEASTTestCase.French.dataInput.get());
;
Sequence Italian = new Sequence("Italian", BEASTTestCase.Italian.dataInput.get());
;
Sequence Spanish = new Sequence("Spanish", BEASTTestCase.Spanish.dataInput.get());
;
data.initByName("sequence", German_ST, "sequence", Dutch_List, "sequence", English_ST, "sequence", French, "sequence", Italian, "sequence", Spanish, "userDataType", dataType);
Tree tree = BEASTTestCase.getTree(data, "((English_ST:0.22743347188019544,(German_ST:0.10557648379843088,Dutch_List:0.10557648379843088):0.12185698808176457):1.5793160946109988,(Spanish:0.11078392189606047,(Italian:0.10119772534558173,French:0.10119772534558173):0.009586196550478737):1.6959656445951337)");
RealParameter frequencies = new RealParameter("1 0");
Frequencies freqs = new Frequencies();
freqs.initByName("frequencies", frequencies);
RealParameter deathprob = new RealParameter("1.7");
MutationDeathModel SDollo = new MutationDeathModel();
SDollo.initByName("deathprob", deathprob, "frequencies", freqs);
SiteModel siteModel = new SiteModel();
siteModel.initByName("mutationRate", "1.0", "gammaCategoryCount", 1, "substModel", SDollo);
TreeLikelihood likelihood = newTreeLikelihood();
likelihood.initByName("data", data, "tree", tree, "siteModel", siteModel);
double logP = 0;
likelihood.initByName("data", data, "tree", tree, "siteModel", siteModel, "useAmbiguities", true);
logP = likelihood.calculateLogP();
// beast1 xml gives -3551.6436
assertEquals(logP, -3551.6436270344648, BEASTTestCase.PRECISION);
}
Aggregations