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