com.itemanalysis.psychometrics.mixture

Class MvNormalMixtureModel

java.lang.Object

com.itemanalysis.psychometrics.mixture.MvNormalMixtureModel

All Implemented Interfaces:

MixtureModel, java.util.concurrent.Callable<MvNormalMixtureModel>

public class MvNormalMixtureModel
extends java.lang.Object
implements MixtureModel, java.util.concurrent.Callable<MvNormalMixtureModel>

Constructor Summary

Constructors

Constructor and Description
MvNormalMixtureModel(org.apache.commons.math3.linear.RealMatrix data, int groups)

Method Summary

Modifier and Type	Method and Description
MvNormalMixtureModel	call()
boolean	converged()
void	estimateCov(org.apache.commons.math3.linear.RealMatrix x)
void	estimateMean(org.apache.commons.math3.linear.RealMatrix x)
void	fitStatistics()
int	freeParameters()
double[][]	getCov(int group)
double	getFitStat(java.lang.String fitStat)
double[]	getMean(int group)
double	getMixingProportion(int group)
int	itertaions()
double	loglikelihood()
double	mStep()
void	multipleRandomStarts()
int	numberOfGroups()
double	posteriorProbability(int group, int dataRow)
java.lang.String	printDelimitedFit()
java.lang.String	printFit()
java.lang.String	printHistory()
void	printMatrix(org.apache.commons.math3.linear.RealMatrix matrix)
java.lang.String	printResults()
double	runEM()
int	sampleSize()
void	setEmOptions(int emMaxIter, double emConvergenceCriterion, int emStarts)
void	setModelConstraints(boolean sameVarianceWithin, boolean sameCovarianceWithin, boolean localIndependence, boolean sameCovarianceBetween)

Methods inherited from class java.lang.Object

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

Constructor Detail

MvNormalMixtureModel

public MvNormalMixtureModel(org.apache.commons.math3.linear.RealMatrix data,
                            int groups)

Method Detail

estimateMean

public void estimateMean(org.apache.commons.math3.linear.RealMatrix x)

estimateCov

public void estimateCov(org.apache.commons.math3.linear.RealMatrix x)

setModelConstraints

public void setModelConstraints(boolean sameVarianceWithin,
                                boolean sameCovarianceWithin,
                                boolean localIndependence,
                                boolean sameCovarianceBetween)

setEmOptions

public void setEmOptions(int emMaxIter,
                         double emConvergenceCriterion,
                         int emStarts)

Specified by:

setEmOptions in interface MixtureModel

posteriorProbability

public double posteriorProbability(int group,
                                   int dataRow)

Specified by:

posteriorProbability in interface MixtureModel

loglikelihood

public double loglikelihood()

Specified by:

loglikelihood in interface MixtureModel

printMatrix

public void printMatrix(org.apache.commons.math3.linear.RealMatrix matrix)

mStep

public double mStep()

Specified by:

mStep in interface MixtureModel

freeParameters

public int freeParameters()

Specified by:

freeParameters in interface MixtureModel

sampleSize

public int sampleSize()

Specified by:

sampleSize in interface MixtureModel

numberOfGroups

public int numberOfGroups()

Specified by:

numberOfGroups in interface MixtureModel

itertaions

public int itertaions()

fitStatistics

public void fitStatistics()

Specified by:

fitStatistics in interface MixtureModel

multipleRandomStarts

public void multipleRandomStarts()

Specified by:

multipleRandomStarts in interface MixtureModel

printHistory

public java.lang.String printHistory()

Specified by:

printHistory in interface MixtureModel

getMean

public double[] getMean(int group)

getCov

public double[][] getCov(int group)

getMixingProportion

public double getMixingProportion(int group)

converged

public boolean converged()

call

public MvNormalMixtureModel call()

Specified by:

call in interface java.util.concurrent.Callable<MvNormalMixtureModel>

runEM

public double runEM()

Specified by:

runEM in interface MixtureModel

getFitStat

public double getFitStat(java.lang.String fitStat)

printFit

public java.lang.String printFit()

printDelimitedFit

public java.lang.String printDelimitedFit()

printResults

public java.lang.String printResults()