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K

kappa() - Method in class com.itemanalysis.psychometrics.reliability.Huynh

kappaSE() - Method in class com.itemanalysis.psychometrics.reliability.Huynh

KelleyRegressedScore - Class in com.itemanalysis.psychometrics.scaling

KelleyRegressedScore(double, ScoreReliability) - Constructor for class com.itemanalysis.psychometrics.scaling.KelleyRegressedScore

kelleyScoreTable(KelleyRegressedScore, LinearTransformation, ScoreBounds, boolean) - Method in class com.itemanalysis.psychometrics.scaling.ScoreTable

KernelDensity - Class in com.itemanalysis.psychometrics.kernel

KernelDensity(KernelFunction, Bandwidth, UniformDistributionApproximation) - Constructor for class com.itemanalysis.psychometrics.kernel.KernelDensity

KernelFactory - Class in com.itemanalysis.psychometrics.kernel

A factory class for returning either the kernel class or the name of the type of kernel

KernelFactory(KernelType) - Constructor for class com.itemanalysis.psychometrics.kernel.KernelFactory

KernelFactory(String) - Constructor for class com.itemanalysis.psychometrics.kernel.KernelFactory

KernelFunction - Interface in com.itemanalysis.psychometrics.kernel

KernelRegression - Class in com.itemanalysis.psychometrics.kernel

Nadaraya-Watson kernel regression estimator.

KernelRegression(KernelFunction, Bandwidth, UniformDistributionApproximation) - Constructor for class com.itemanalysis.psychometrics.kernel.KernelRegression

Default constructor for the class.

KernelRegressionCategories - Class in com.itemanalysis.psychometrics.measurement

KernelRegressionCategories(VariableAttributes, KernelFunction, Bandwidth, UniformDistributionApproximation) - Constructor for class com.itemanalysis.psychometrics.measurement.KernelRegressionCategories

KernelRegressionItem - Class in com.itemanalysis.psychometrics.measurement

KernelRegressionItem(VariableAttributes, KernelFunction, Bandwidth, UniformDistributionApproximation) - Constructor for class com.itemanalysis.psychometrics.measurement.KernelRegressionItem

KernelType - Enum in com.itemanalysis.psychometrics.kernel

klDivergence(double[], double[]) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath

kr21() - Method in class com.itemanalysis.psychometrics.measurement.ClassicalTestSummary

kr21() - Method in class com.itemanalysis.psychometrics.measurement.TestSummary

kr21() - Method in class com.itemanalysis.psychometrics.reliability.Huynh

KR21 - Class in com.itemanalysis.psychometrics.reliability

KR21(int, double, double, boolean) - Constructor for class com.itemanalysis.psychometrics.reliability.KR21

KR21(int, double, double) - Constructor for class com.itemanalysis.psychometrics.reliability.KR21

kurtosisOfResponse(ItemResponseModel, double) - Method in class com.itemanalysis.psychometrics.irt.estimation.RaschCategoryFitStatistic

Kurtosis of response Xni.

kurtosisOfResponse(ItemResponseModel, double) - Method in class com.itemanalysis.psychometrics.irt.estimation.RaschFitStatistics

Kurtosis of response Xni.

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