use of dr.oldevomodel.substmodel.FrequencyModel in project beast-mcmc by beast-dev.
the class GeneralSubstitutionModelParser method parseXMLObject.
public Object parseXMLObject(XMLObject xo) throws XMLParseException {
Parameter ratesParameter = null;
FrequencyModel freqModel = null;
if (xo.hasChildNamed(FREQUENCIES)) {
XMLObject cxo = xo.getChild(FREQUENCIES);
freqModel = (FrequencyModel) cxo.getChild(FrequencyModel.class);
}
DataType dataType = DataTypeUtils.getDataType(xo);
if (dataType == null)
dataType = (DataType) xo.getChild(DataType.class);
if (dataType == null)
dataType = freqModel.getDataType();
if (dataType != freqModel.getDataType()) {
throw new XMLParseException("Data type of " + getParserName() + " element does not match that of its frequencyModel.");
}
XMLObject cxo = xo.getChild(RATES);
ratesParameter = (Parameter) cxo.getChild(Parameter.class);
int states = dataType.getStateCount();
Logger.getLogger("dr.evomodel").info(" General Substitution Model (stateCount=" + states + ")");
boolean hasRelativeRates = cxo.hasChildNamed(RELATIVE_TO) || (cxo.hasAttribute(RELATIVE_TO) && cxo.getIntegerAttribute(RELATIVE_TO) > 0);
int nonReversibleRateCount = ((dataType.getStateCount() - 1) * dataType.getStateCount());
int reversibleRateCount = (nonReversibleRateCount / 2);
boolean isNonReversible = ratesParameter.getDimension() == nonReversibleRateCount;
boolean hasIndicator = xo.hasChildNamed(INDICATOR);
if (!hasRelativeRates) {
Parameter indicatorParameter = null;
if (ratesParameter.getDimension() != reversibleRateCount && ratesParameter.getDimension() != nonReversibleRateCount) {
throw new XMLParseException("Rates parameter in " + getParserName() + " element should have " + (reversibleRateCount) + " dimensions for reversible model or " + nonReversibleRateCount + " dimensions for non-reversible. " + "However parameter dimension is " + ratesParameter.getDimension());
}
if (hasIndicator) {
// this is using BSSVS
cxo = xo.getChild(INDICATOR);
indicatorParameter = (Parameter) cxo.getChild(Parameter.class);
if (indicatorParameter.getDimension() != ratesParameter.getDimension()) {
throw new XMLParseException("Rates and indicator parameters in " + getParserName() + " element must be the same dimension.");
}
boolean randomize = xo.getAttribute(ComplexSubstitutionModelParser.RANDOMIZE, false);
if (randomize) {
BayesianStochasticSearchVariableSelection.Utils.randomize(indicatorParameter, dataType.getStateCount(), !isNonReversible);
}
}
if (isNonReversible) {
Logger.getLogger("dr.evomodel").info(" Using BSSVS Complex Substitution Model");
return new SVSComplexSubstitutionModel(getParserName(), dataType, freqModel, ratesParameter, indicatorParameter);
} else {
Logger.getLogger("dr.evomodel").info(" Using BSSVS General Substitution Model");
return new SVSGeneralSubstitutionModel(dataType, freqModel, ratesParameter, indicatorParameter);
}
} else {
if (ratesParameter.getDimension() != reversibleRateCount - 1) {
throw new XMLParseException("Rates parameter in " + getParserName() + " element should have " + (reversibleRateCount - 1) + " dimensions. However parameter dimension is " + ratesParameter.getDimension());
}
int relativeTo = 0;
if (hasRelativeRates) {
relativeTo = cxo.getIntegerAttribute(RELATIVE_TO) - 1;
}
if (relativeTo < 0 || relativeTo >= reversibleRateCount) {
throw new XMLParseException(RELATIVE_TO + " must be 1 or greater");
} else {
int t = relativeTo;
int s = states - 1;
int row = 0;
while (t >= s) {
t -= s;
s -= 1;
row += 1;
}
int col = t + row + 1;
Logger.getLogger("dr.evomodel").info(" Rates relative to " + dataType.getCode(row) + "<->" + dataType.getCode(col));
}
if (ratesParameter == null) {
if (reversibleRateCount == 1) {
// simplest model for binary traits...
} else {
throw new XMLParseException("No rates parameter found in " + getParserName());
}
}
return new GeneralSubstitutionModel(dataType, freqModel, ratesParameter, relativeTo);
}
}
use of dr.oldevomodel.substmodel.FrequencyModel in project beast-mcmc by beast-dev.
the class MutationDeathModelParser method parseXMLObject.
public Object parseXMLObject(XMLObject xo) throws XMLParseException {
Parameter dummyFreqParameter;
Parameter delParam = (Parameter) xo.getChild(Parameter.class);
Logger.getLogger("dr.evomodel").info("Creating MutationDeath substitution model.\n\tInitial death rate is " + delParam.getParameterValue(0));
MutationDeathType dT = (MutationDeathType) xo.getChild(MutationDeathType.class);
AbstractSubstitutionModel evoModel = (AbstractSubstitutionModel) xo.getChild(AbstractSubstitutionModel.class);
if (evoModel == null) {
// Assuming pure survival model
Logger.getLogger("dr.evomodel").info("\tSubstitutionModel not provided assuming pure death/survival model.");
dummyFreqParameter = new Parameter.Default(new double[] { 1.0, 0.0 });
} else {
dummyFreqParameter = new Parameter.Default(dT.getStateCount());
double[] freqs = evoModel.getFrequencyModel().getFrequencies();
for (int i = 0; i < freqs.length; ++i) {
dummyFreqParameter.setParameterValueQuietly(i, freqs[i]);
}
dummyFreqParameter.setParameterValueQuietly(dT.getStateCount() - 1, 0.0);
}
FrequencyModel dummyFrequencies = new FrequencyModel(dT, dummyFreqParameter);
Parameter mutationRate;
if (xo.hasChildNamed(MUTATION_RATE)) {
mutationRate = (Parameter) xo.getElementFirstChild(MUTATION_RATE);
} else {
mutationRate = new Parameter.Default(new double[] { 1.0 });
}
Logger.getLogger("dr.evomodel").info("\tInitial mutation rate is " + mutationRate.getParameterValue(0));
return new MutationDeathModel(delParam, dT, evoModel, dummyFrequencies, mutationRate);
}
use of dr.oldevomodel.substmodel.FrequencyModel in project beast-mcmc by beast-dev.
the class PCACodonModelParser method parseXMLObject.
public Object parseXMLObject(XMLObject xo) throws XMLParseException {
Codons codons = Codons.UNIVERSAL;
if (xo.hasAttribute(GeneticCode.GENETIC_CODE)) {
String codeStr = xo.getStringAttribute(GeneticCode.GENETIC_CODE);
if (codeStr.equals(GeneticCode.UNIVERSAL.getName())) {
codons = Codons.UNIVERSAL;
} else if (codeStr.equals(GeneticCode.VERTEBRATE_MT.getName())) {
codons = Codons.VERTEBRATE_MT;
} else if (codeStr.equals(GeneticCode.YEAST.getName())) {
codons = Codons.YEAST;
} else if (codeStr.equals(GeneticCode.MOLD_PROTOZOAN_MT.getName())) {
codons = Codons.MOLD_PROTOZOAN_MT;
} else if (codeStr.equals(GeneticCode.INVERTEBRATE_MT.getName())) {
codons = Codons.INVERTEBRATE_MT;
} else if (codeStr.equals(GeneticCode.CILIATE.getName())) {
codons = Codons.CILIATE;
} else if (codeStr.equals(GeneticCode.ECHINODERM_MT.getName())) {
codons = Codons.ECHINODERM_MT;
} else if (codeStr.equals(GeneticCode.EUPLOTID_NUC.getName())) {
codons = Codons.EUPLOTID_NUC;
} else if (codeStr.equals(GeneticCode.BACTERIAL.getName())) {
codons = Codons.BACTERIAL;
} else if (codeStr.equals(GeneticCode.ALT_YEAST.getName())) {
codons = Codons.ALT_YEAST;
} else if (codeStr.equals(GeneticCode.ASCIDIAN_MT.getName())) {
codons = Codons.ASCIDIAN_MT;
} else if (codeStr.equals(GeneticCode.FLATWORM_MT.getName())) {
codons = Codons.FLATWORM_MT;
} else if (codeStr.equals(GeneticCode.BLEPHARISMA_NUC.getName())) {
codons = Codons.BLEPHARISMA_NUC;
} else if (codeStr.equals(GeneticCode.NO_STOPS.getName())) {
codons = Codons.NO_STOPS;
}
}
// get number of PCs
Parameter pcaDimensionParameter = (Parameter) xo.getElementFirstChild(PCA_DIMENSION);
// get directory with pca rate matrix files; fallback to default "pcadata"
String dirString = "pcadata";
if (xo.hasAttribute(PCA_DATA_DIR)) {
dirString = xo.getStringAttribute(PCA_DATA_DIR);
}
// get type of rate matrix; fallback to mammalia pca
AbstractPCARateMatrix pcaType = new PCARateMatrixMammalia(pcaDimensionParameter.getDimension(), dirString);
// check for other type of pca
if (xo.hasAttribute(PCATYPE)) {
String pcaTypeString = xo.getStringAttribute(PCATYPE);
if (pcaTypeString.equals(PCARateMatrixMammalia.getName())) {
pcaType = new PCARateMatrixMammalia(pcaDimensionParameter.getDimension(), dirString);
}
}
// decide if getting frequencies from csv or estimating from MSA
FrequencyModel freqModel = null;
if (xo.getChild(FrequencyModel.class) != null) {
freqModel = (FrequencyModel) xo.getChild(FrequencyModel.class);
} else {
freqModel = createNewFreqModel(codons, pcaType);
}
return new PCACodonModel(codons, pcaType, pcaDimensionParameter, freqModel);
}
use of dr.oldevomodel.substmodel.FrequencyModel in project beast-mcmc by beast-dev.
the class HKYParser method parseXMLObject.
public Object parseXMLObject(XMLObject xo) throws XMLParseException {
Variable kappaParam = (Variable) xo.getElementFirstChild(KAPPA);
FrequencyModel freqModel = (FrequencyModel) xo.getElementFirstChild(FrequencyModelParser.FREQUENCIES);
Logger.getLogger("dr.evomodel").info("Creating HKY substitution model. Initial kappa = " + kappaParam.getValue(0));
return new HKY(kappaParam, freqModel);
}
use of dr.oldevomodel.substmodel.FrequencyModel in project beast-mcmc by beast-dev.
the class LinearBiasModelParser method parseXMLObject.
//AbstractXMLObjectParser implementation
public Object parseXMLObject(XMLObject xo) throws XMLParseException {
OnePhaseModel subModel = (OnePhaseModel) xo.getElementFirstChild(SUBMODEL);
Microsatellite dataType = (Microsatellite) subModel.getDataType();
Parameter biasConst = null;
if (xo.hasChildNamed(BIAS_CONSTANT)) {
biasConst = (Parameter) xo.getElementFirstChild(BIAS_CONSTANT);
}
Parameter biasLin = null;
if (xo.hasChildNamed(BIAS_LINEAR)) {
biasLin = (Parameter) xo.getElementFirstChild(BIAS_LINEAR);
}
//get FrequencyModel
FrequencyModel freqModel = null;
if (xo.hasChildNamed(FrequencyModelParser.FREQUENCIES)) {
freqModel = (FrequencyModel) xo.getElementFirstChild(FrequencyModelParser.FREQUENCIES);
}
boolean estimateSubmodelParams = false;
if (xo.hasAttribute(ESTIMATE_SUBMODEL_PARAMS)) {
estimateSubmodelParams = xo.getBooleanAttribute(ESTIMATE_SUBMODEL_PARAMS);
}
System.out.println("Is estimating submodel parameter(s): " + estimateSubmodelParams);
boolean logistics = false;
if (xo.hasAttribute(LOGISTICS)) {
logistics = xo.getBooleanAttribute(LOGISTICS);
}
System.out.println("Using logistic regression: " + logistics);
boolean isSubmodel = false;
if (xo.hasAttribute(IS_SUBMODEL)) {
isSubmodel = xo.getBooleanAttribute(IS_SUBMODEL);
}
System.out.println("Is a submodel: " + isSubmodel);
return new LinearBiasModel(dataType, freqModel, subModel, biasConst, biasLin, logistics, estimateSubmodelParams, isSubmodel);
}
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