Examples with GTR dr.oldevomodel.substmodel.GTR used on opensource projects

Example 1 with GTR

use of dr.oldevomodel.substmodel.GTR in project beast-mcmc by beast-dev.

the class LikelihoodTest method testLikelihoodGTR.

public void testLikelihoodGTR() {
    System.out.println("\nTest Likelihood using GTR:");
    // Sub model
    Parameter freqs = new Parameter.Default(alignment.getStateFrequencies());
    FrequencyModel f = new FrequencyModel(Nucleotides.INSTANCE, freqs);
    Variable<Double> rateACValue = new Parameter.Default(GTRParser.A_TO_C, 1.0, 1.0E-8, Double.POSITIVE_INFINITY);
    Variable<Double> rateAGValue = new Parameter.Default(GTRParser.A_TO_G, 1.0, 1.0E-8, Double.POSITIVE_INFINITY);
    Variable<Double> rateATValue = new Parameter.Default(GTRParser.A_TO_T, 1.0, 1.0E-8, Double.POSITIVE_INFINITY);
    Variable<Double> rateCGValue = new Parameter.Default(GTRParser.C_TO_G, 1.0, 1.0E-8, Double.POSITIVE_INFINITY);
    Variable<Double> rateCTValue = new Parameter.Default(GTRParser.C_TO_T, 1.0, 1.0E-8, Double.POSITIVE_INFINITY);
    Variable<Double> rateGTValue = new Parameter.Default(GTRParser.G_TO_T, 1.0, 1.0E-8, Double.POSITIVE_INFINITY);
    GTR gtr = new GTR(rateACValue, rateAGValue, rateATValue, rateCGValue, rateCTValue, rateGTValue, f);
    //siteModel
    Parameter mu = new Parameter.Default(GammaSiteModelParser.MUTATION_RATE, 1.0, 0, Double.POSITIVE_INFINITY);
    GammaSiteModel siteModel = new GammaSiteModel(gtr, mu, null, 4, null);
    //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);
    assertEquals("treeLikelihoodGTR", format.format(-1969.14584), format.format(treeLikelihood.getLogLikelihood()));
}

Example 2 with GTR

use of dr.oldevomodel.substmodel.GTR in project beast-mcmc by beast-dev.

the class GTRParser method parseXMLObject.

public Object parseXMLObject(XMLObject xo) throws XMLParseException {
    XMLObject cxo = xo.getChild(FREQUENCIES);
    FrequencyModel freqModel = (FrequencyModel) cxo.getChild(FrequencyModel.class);
    Variable rateACValue = null;
    if (xo.hasChildNamed(A_TO_C)) {
        rateACValue = (Variable) xo.getElementFirstChild(A_TO_C);
    }
    Variable rateAGValue = null;
    if (xo.hasChildNamed(A_TO_G)) {
        rateAGValue = (Variable) xo.getElementFirstChild(A_TO_G);
    }
    Variable rateATValue = null;
    if (xo.hasChildNamed(A_TO_T)) {
        rateATValue = (Variable) xo.getElementFirstChild(A_TO_T);
    }
    Variable rateCGValue = null;
    if (xo.hasChildNamed(C_TO_G)) {
        rateCGValue = (Variable) xo.getElementFirstChild(C_TO_G);
    }
    Variable rateCTValue = null;
    if (xo.hasChildNamed(C_TO_T)) {
        rateCTValue = (Variable) xo.getElementFirstChild(C_TO_T);
    }
    Variable rateGTValue = null;
    if (xo.hasChildNamed(G_TO_T)) {
        rateGTValue = (Variable) xo.getElementFirstChild(G_TO_T);
    }
    int countNull = 0;
    if (rateACValue == null)
        countNull++;
    if (rateAGValue == null)
        countNull++;
    if (rateATValue == null)
        countNull++;
    if (rateCGValue == null)
        countNull++;
    if (rateCTValue == null)
        countNull++;
    if (rateGTValue == null)
        countNull++;
    if (countNull != 1)
        throw new XMLParseException("Only five parameters may be specified in GTR, leave exactly one out, the others will be specifed relative to the one left out.");
    return new GTR(rateACValue, rateAGValue, rateATValue, rateCGValue, rateCTValue, rateGTValue, freqModel);
}

Example 3 with GTR

use of dr.oldevomodel.substmodel.GTR in project beast-mcmc by beast-dev.

the class LikelihoodTest method testLikelihoodGTRI.

public void testLikelihoodGTRI() {
    System.out.println("\nTest Likelihood using GTRI:");
    // Sub model
    Parameter freqs = new Parameter.Default(alignment.getStateFrequencies());
    FrequencyModel f = new FrequencyModel(Nucleotides.INSTANCE, freqs);
    Variable<Double> rateACValue = new Parameter.Default(GTRParser.A_TO_C, 1.0, 1.0E-8, Double.POSITIVE_INFINITY);
    Variable<Double> rateAGValue = new Parameter.Default(GTRParser.A_TO_G, 1.0, 1.0E-8, Double.POSITIVE_INFINITY);
    Variable<Double> rateATValue = new Parameter.Default(GTRParser.A_TO_T, 1.0, 1.0E-8, Double.POSITIVE_INFINITY);
    Variable<Double> rateCGValue = new Parameter.Default(GTRParser.C_TO_G, 1.0, 1.0E-8, Double.POSITIVE_INFINITY);
    Variable<Double> rateCTValue = new Parameter.Default(GTRParser.C_TO_T, 1.0, 1.0E-8, Double.POSITIVE_INFINITY);
    Variable<Double> rateGTValue = new Parameter.Default(GTRParser.G_TO_T, 1.0, 1.0E-8, Double.POSITIVE_INFINITY);
    GTR gtr = new GTR(rateACValue, rateAGValue, rateATValue, rateCGValue, rateCTValue, rateGTValue, f);
    //siteModel
    Parameter mu = new Parameter.Default(GammaSiteModelParser.MUTATION_RATE, 1.0, 0, Double.POSITIVE_INFINITY);
    Parameter invar = new Parameter.Default(GammaSiteModelParser.PROPORTION_INVARIANT, 0.5, 0, 1.0);
    GammaSiteModel siteModel = new GammaSiteModel(gtr, mu, null, 4, invar);
    //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);
    assertEquals("treeLikelihoodGTRI", format.format(-1948.84175), format.format(treeLikelihood.getLogLikelihood()));
}

Example 4 with GTR

use of dr.oldevomodel.substmodel.GTR in project beast-mcmc by beast-dev.

the class LikelihoodTest method testLikelihoodGTRG.

public void testLikelihoodGTRG() {
    System.out.println("\nTest Likelihood using GTRG:");
    // Sub model
    Parameter freqs = new Parameter.Default(alignment.getStateFrequencies());
    FrequencyModel f = new FrequencyModel(Nucleotides.INSTANCE, freqs);
    Variable<Double> rateACValue = new Parameter.Default(GTRParser.A_TO_C, 1.0, 1.0E-8, Double.POSITIVE_INFINITY);
    Variable<Double> rateAGValue = new Parameter.Default(GTRParser.A_TO_G, 1.0, 1.0E-8, Double.POSITIVE_INFINITY);
    Variable<Double> rateATValue = new Parameter.Default(GTRParser.A_TO_T, 1.0, 1.0E-8, Double.POSITIVE_INFINITY);
    Variable<Double> rateCGValue = new Parameter.Default(GTRParser.C_TO_G, 1.0, 1.0E-8, Double.POSITIVE_INFINITY);
    Variable<Double> rateCTValue = new Parameter.Default(GTRParser.C_TO_T, 1.0, 1.0E-8, Double.POSITIVE_INFINITY);
    Variable<Double> rateGTValue = new Parameter.Default(GTRParser.G_TO_T, 1.0, 1.0E-8, Double.POSITIVE_INFINITY);
    GTR gtr = new GTR(rateACValue, rateAGValue, rateATValue, rateCGValue, rateCTValue, rateGTValue, f);
    //siteModel
    Parameter mu = new Parameter.Default(GammaSiteModelParser.MUTATION_RATE, 1.0, 0, Double.POSITIVE_INFINITY);
    Parameter shape = new Parameter.Default(GammaSiteModelParser.GAMMA_SHAPE, 0.5, 0, 100.0);
    GammaSiteModel siteModel = new GammaSiteModel(gtr, mu, shape, 4, null);
    //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);
    assertEquals("treeLikelihoodGTRG", format.format(-1949.03601), format.format(treeLikelihood.getLogLikelihood()));
}

Example 5 with GTR

use of dr.oldevomodel.substmodel.GTR in project beast-mcmc by beast-dev.

the class LikelihoodTest method testLikelihoodGTRGI.

public void testLikelihoodGTRGI() {
    System.out.println("\nTest Likelihood using GTRGI:");
    // Sub model
    Parameter freqs = new Parameter.Default(alignment.getStateFrequencies());
    FrequencyModel f = new FrequencyModel(Nucleotides.INSTANCE, freqs);
    Variable<Double> rateACValue = new Parameter.Default(GTRParser.A_TO_C, 1.0, 1.0E-8, Double.POSITIVE_INFINITY);
    Variable<Double> rateAGValue = new Parameter.Default(GTRParser.A_TO_G, 1.0, 1.0E-8, Double.POSITIVE_INFINITY);
    Variable<Double> rateATValue = new Parameter.Default(GTRParser.A_TO_T, 1.0, 1.0E-8, Double.POSITIVE_INFINITY);
    Variable<Double> rateCGValue = new Parameter.Default(GTRParser.C_TO_G, 1.0, 1.0E-8, Double.POSITIVE_INFINITY);
    Variable<Double> rateCTValue = new Parameter.Default(GTRParser.C_TO_T, 1.0, 1.0E-8, Double.POSITIVE_INFINITY);
    Variable<Double> rateGTValue = new Parameter.Default(GTRParser.G_TO_T, 1.0, 1.0E-8, Double.POSITIVE_INFINITY);
    GTR gtr = new GTR(rateACValue, rateAGValue, rateATValue, rateCGValue, rateCTValue, rateGTValue, f);
    //siteModel
    Parameter mu = new Parameter.Default(GammaSiteModelParser.MUTATION_RATE, 1.0, 0, Double.POSITIVE_INFINITY);
    Parameter shape = new Parameter.Default(GammaSiteModelParser.GAMMA_SHAPE, 0.5, 0, 100.0);
    Parameter invar = new Parameter.Default(GammaSiteModelParser.PROPORTION_INVARIANT, 0.5, 0, 1.0);
    GammaSiteModel siteModel = new GammaSiteModel(gtr, mu, shape, 4, invar);
    //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);
    assertEquals("treeLikelihoodGTRGI", format.format(-1947.58294), format.format(treeLikelihood.getLogLikelihood()));
}