com.itemanalysis.psychometrics.mixture

Class MvNormalComponentDistribution

java.lang.Object

com.itemanalysis.psychometrics.mixture.MvNormalComponentDistribution

All Implemented Interfaces:

ComponentDistribution

public class MvNormalComponentDistribution
extends java.lang.Object
implements ComponentDistribution

Constructor Summary

Constructors

Constructor and Description
MvNormalComponentDistribution(int dimensions)

Method Summary

Modifier and Type	Method and Description
double	density(org.apache.commons.math3.linear.RealMatrix x)
void	generateStartValues(org.apache.commons.math3.linear.RealMatrix x, org.apache.commons.math3.linear.RealMatrix mean, org.apache.commons.math3.linear.RealMatrix cov)
org.apache.commons.math3.linear.RealMatrix	getCov()
org.apache.commons.math3.linear.RealMatrix	getMean()
double	getMixingProportion()
java.lang.String	printCovariance()
java.lang.String	printMean()
java.lang.String	printMixingProportion()
void	setCovariance(org.apache.commons.math3.linear.RealMatrix sigma)
void	setMean(org.apache.commons.math3.linear.RealMatrix mu)
void	setMixingProportion(double pi)

Methods inherited from class java.lang.Object

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

Constructor Detail

MvNormalComponentDistribution

public MvNormalComponentDistribution(int dimensions)

Method Detail

density

public double density(org.apache.commons.math3.linear.RealMatrix x)
               throws org.apache.commons.math3.linear.SingularMatrixException

Specified by:

density in interface ComponentDistribution

Parameters:

x - a matrix of dimension 1 x k, where k is the number of variables

Returns:

Throws:

org.apache.commons.math3.linear.SingularMatrixException

generateStartValues

public void generateStartValues(org.apache.commons.math3.linear.RealMatrix x,
                                org.apache.commons.math3.linear.RealMatrix mean,
                                org.apache.commons.math3.linear.RealMatrix cov)

Specified by:

generateStartValues in interface ComponentDistribution

setMixingProportion

public void setMixingProportion(double pi)

Specified by:

setMixingProportion in interface ComponentDistribution

setMean

public void setMean(org.apache.commons.math3.linear.RealMatrix mu)

Specified by:

setMean in interface ComponentDistribution

setCovariance

public void setCovariance(org.apache.commons.math3.linear.RealMatrix sigma)

Specified by:

setCovariance in interface ComponentDistribution

getMixingProportion

public double getMixingProportion()

Specified by:

getMixingProportion in interface ComponentDistribution

getMean

public org.apache.commons.math3.linear.RealMatrix getMean()

getCov

public org.apache.commons.math3.linear.RealMatrix getCov()

printMixingProportion

public java.lang.String printMixingProportion()

printMean

public java.lang.String printMean()

printCovariance

public java.lang.String printCovariance()