public class GammaRates extends RateDistribution
Parameterized.Null, Parameterized.ParameterizedBase, Parameterized.ParameterizedUser, Parameterized.Utilsformat, numRates, probability, rate| Constructor and Description |
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GammaRates(int n,
double a)
construct discrete Gamma distribution (mean = 1.0)
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| Modifier and Type | Method and Description |
|---|---|
double |
getDefaultValue(int n)
get default value of parameter
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double |
getLowerLimit(int n)
get lower parameter limit
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int |
getNumParameters()
get number of parameters
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double |
getParameter(int n)
get model parameter
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double |
getUpperLimit(int n)
get upper parameter limit
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void |
report(java.io.PrintWriter out)
print human readable report (e.g., on parameters and associated model)
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void |
setParameter(double param,
int n)
set model parameter
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void |
setParameterSE(double paramSE,
int n)
set standard errors for model parameter
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clone, getCategoryProbabilities, getCategoryProbability, getNumberOfRates, getRate, getRates, printRatesaddPalObjectListener, fireParametersChangedEvent, fireParametersChangedEvent, fireStructureChangedEvent, fireStructureChangedEvent, removePalObjectListenerpublic GammaRates(int n,
double a)
n - number of categoriesa - shape parameter (alpha)public void report(java.io.PrintWriter out)
Reportout - output streampublic int getNumParameters()
Parameterizedpublic void setParameter(double param,
int n)
Parameterizedparam - parameter valuen - parameter numberpublic double getParameter(int n)
Parameterizedn - parameter numberpublic void setParameterSE(double paramSE,
int n)
ParameterizedparamSE - standard error of parameter valuen - parameter numberpublic double getLowerLimit(int n)
Parameterizedn - parameter numberpublic double getUpperLimit(int n)
Parameterizedn - parameter numberpublic double getDefaultValue(int n)
Parameterizedn - parameter number