com.itemanalysis.psychometrics.irt.estimation

Class ItemParamPriorBeta

java.lang.Object

com.itemanalysis.psychometrics.irt.estimation.ItemParamPriorBeta

All Implemented Interfaces:

ItemParamPrior

public class ItemParamPriorBeta
extends java.lang.Object
implements ItemParamPrior

Constructor Summary

Constructors

Constructor and Description
ItemParamPriorBeta(double alpha, double beta)

Method Summary

Modifier and Type	Method and Description
java.lang.String	distributionName()
int	getNumberOfParameters()
double	logDensity(double x)
double	logDensityDeriv1(double p)
double	logDensityDeriv2(double p) Second derivative of log density.
double	nearestNonZero(double x)
boolean	zeroDensity(double x)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

ItemParamPriorBeta

public ItemParamPriorBeta(double alpha,
                          double beta)

Method Detail

zeroDensity

public boolean zeroDensity(double x)

Specified by:

zeroDensity in interface ItemParamPrior

nearestNonZero

public double nearestNonZero(double x)

Specified by:

nearestNonZero in interface ItemParamPrior

logDensity

public double logDensity(double x)

Specified by:

logDensity in interface ItemParamPrior

logDensityDeriv1

public double logDensityDeriv1(double p)

Specified by:

logDensityDeriv1 in interface ItemParamPrior

logDensityDeriv2

public double logDensityDeriv2(double p)

Second derivative of log density. Only compute part of the log of the density that depends on the parameter.

Specified by:

logDensityDeriv2 in interface ItemParamPrior

Parameters:

p -

Returns:

distributionName

public java.lang.String distributionName()

Specified by:

distributionName in interface ItemParamPrior

getNumberOfParameters

public int getNumberOfParameters()

Specified by:

getNumberOfParameters in interface ItemParamPrior