com.itemanalysis.psychometrics.measurement

Class KernelRegressionCategories

java.lang.Object

com.itemanalysis.psychometrics.measurement.KernelRegressionCategories

public class KernelRegressionCategories
extends java.lang.Object

Constructor Summary

Constructors

Constructor and Description
KernelRegressionCategories(VariableAttributes variableAttributes, KernelFunction kernel, Bandwidth bandwidth, UniformDistributionApproximation uniform)

Method Summary

Modifier and Type	Method and Description
double[]	getExpectedValues()
double	getMaximumPossibleScore()
double	getMinimumPossibleScore()
double[]	getPoints(java.lang.Object obj)
java.util.TreeMap<java.lang.Object,KernelRegression>	getRegressionMap()
double	getScoreValue(java.lang.Object category)
double[]	getValues(java.lang.Object obj)
void	increment(double x, java.lang.Object y)
void	initializeCategories()

Methods inherited from class java.lang.Object

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

Constructor Detail

KernelRegressionCategories

public KernelRegressionCategories(VariableAttributes variableAttributes,
                                  KernelFunction kernel,
                                  Bandwidth bandwidth,
                                  UniformDistributionApproximation uniform)

Method Detail

initializeCategories

public void initializeCategories()

increment

public void increment(double x,
                      java.lang.Object y)

getExpectedValues

public double[] getExpectedValues()

getValues

public double[] getValues(java.lang.Object obj)

getPoints

public double[] getPoints(java.lang.Object obj)

getRegressionMap

public java.util.TreeMap<java.lang.Object,KernelRegression> getRegressionMap()

getScoreValue

public double getScoreValue(java.lang.Object category)

getMinimumPossibleScore

public double getMinimumPossibleScore()

getMaximumPossibleScore

public double getMaximumPossibleScore()