- HaebaraMethod - Class in com.itemanalysis.psychometrics.irt.equating
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- HaebaraMethod(HashMap<String, ItemResponseModel>, HashMap<String, ItemResponseModel>, DistributionApproximation, DistributionApproximation, EquatingCriterionType) - Constructor for class com.itemanalysis.psychometrics.irt.equating.HaebaraMethod
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- handleEMStatusEvent(EMStatusEventObject) - Method in class com.itemanalysis.psychometrics.irt.estimation.DefaultEMStatusListener
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- handleEMStatusEvent(EMStatusEventObject) - Method in interface com.itemanalysis.psychometrics.irt.estimation.EMStatusListener
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- handleUncminEvent(UncminStatusEventObject) - Method in class com.itemanalysis.psychometrics.uncmin.DefaultUncminStatusListener
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- handleUncminEvent(UncminStatusEventObject) - Method in interface com.itemanalysis.psychometrics.uncmin.UncminStatusListener
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- HasEvaluators - Interface in com.itemanalysis.psychometrics.optimization
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Indicates that an minimizer supports evaluation periodically
- hashCode() - Method in class com.itemanalysis.psychometrics.data.Category
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- hashCode() - Method in class com.itemanalysis.psychometrics.data.VariableAttributes
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- hashCode() - Method in class com.itemanalysis.psychometrics.data.VariableLabel
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- hashCode() - Method in class com.itemanalysis.psychometrics.data.VariableName
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- hashCode() - Method in class com.itemanalysis.psychometrics.data.VariableType
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- hashCode() - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemResponseVector
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- hashCode() - Method in class com.itemanalysis.psychometrics.polycor.Covariance
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- hashCode() - Method in class com.itemanalysis.psychometrics.polycor.PearsonCorrelation
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- hashCode() - Method in class com.itemanalysis.psychometrics.reliability.AbstractScoreReliability
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- hashCode() - Method in class com.itemanalysis.psychometrics.reliability.ConditionalSEM
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- hashCode() - Method in class com.itemanalysis.psychometrics.reliability.CSEM
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- hashCode() - Method in class com.itemanalysis.psychometrics.scaling.RawScore
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- hasInfinite(double[]) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
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- hasNaN(double[]) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
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- hasNaN(float[]) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
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- hasNext() - Method in class com.itemanalysis.psychometrics.irt.model.IrmCollection.GroupModelIterator
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- HasRegularizerParamRange - Interface in com.itemanalysis.psychometrics.optimization
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Indicates that an minimizer supports evaluation periodically
- hasScoring() - Method in class com.itemanalysis.psychometrics.data.VariableAttributes
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- heschk_f77(int, double[], Uncmin_methods, double[], double[], double[][], double[], double[], double, double, int[], double[], double[], double[]) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin
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The heschk_f77 method checks the analytic Hessian supplied
by the user.
- heschk_f77(int, double[], Uncmin_methods, double[], double[], double[][], double[], double[], double, double, int[], double[], double[], double[]) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin_f77
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The heschk_f77 method checks the analytic Hessian supplied
by the user.
- hessian(double[], double[][]) - Method in class com.itemanalysis.psychometrics.irt.equating.HaebaraMethod
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- hessian(double[], double[][]) - Method in class com.itemanalysis.psychometrics.irt.equating.StockingLordMethod
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- hessian(double[], double[][]) - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemLogLikelihood
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Method required by Uncmin_methods interface
- hessian(double[], double[][]) - Method in interface com.itemanalysis.psychometrics.irt.estimation.ItemLogLikelihoodFunction
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Computes the Hessian of the loglikelihood function for an item.
- hessian(double) - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL
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Hessian or matrix of second derivatives.
- hessian(double) - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModelWithGradient
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Deprecated.
- hessian(double[], double[][]) - Method in class com.itemanalysis.psychometrics.polycor.PolychoricMaximumLikelihood.MaximumLikelihoodFunction
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- hessian(double[], double[][]) - Method in interface com.itemanalysis.psychometrics.uncmin.Uncmin_methods
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- hessianAt(double[]) - Method in class com.itemanalysis.psychometrics.analysis.AbstractDiffFunction
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Numerically compute Hessian using a finite difference method.
- hessianAt(double[]) - Method in class com.itemanalysis.psychometrics.analysis.AbstractMultivariateFunction
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Numerically compute Hessian using a finite difference method.
- histogram(double[], double[]) - Method in class com.itemanalysis.psychometrics.histogram.FastHistogram
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- Histogram - Class in com.itemanalysis.psychometrics.histogram
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A histogram involves an array of value for the x-axis (i.e.
- Histogram(HistogramType) - Constructor for class com.itemanalysis.psychometrics.histogram.Histogram
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- Histogram(HistogramType, BinCalculationType, boolean) - Constructor for class com.itemanalysis.psychometrics.histogram.Histogram
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This constructor is the most general.
- Histogram(HistogramType, int, double, double, boolean) - Constructor for class com.itemanalysis.psychometrics.histogram.Histogram
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This constructor is for use with a
SimpleBinCalculation
where the user provides the min, max, and number of points.
- HistogramType - Enum in com.itemanalysis.psychometrics.histogram
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- hookdr_f77(int, double[], double[], double[], double[][], double[], double[], double[], double[], Uncmin_methods, double[], double[], double[], double[], int[], boolean[], double[], double[], double[], double[], double[], double[], double[], double, int[]) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin
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The hookdr_f77 method finds a next Newton iterate (xpls) by the More-Hebdon
technique.
- hookdr_f77(int, double[], double[], double[], double[][], double[], double[], double[], double[], Uncmin_methods, double[], double[], double[], double[], int[], boolean[], double[], double[], double[], double[], double[], double[], double[], double, int[]) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin_f77
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The hookdr_f77 method finds a next Newton iterate (xpls) by the More-Hebdon
technique.
- hookst_f77(int, double[], double[][], double[], double[], double[], double, double[], double[], double[], double[], double[], boolean[], double[], boolean[], double[], double) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin
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The hookst_f77 method finds a new step by the More-Hebdon algorithm.
- hookst_f77(int, double[], double[][], double[], double[], double[], double, double[], double[], double[], double[], double[], boolean[], double[], boolean[], double[], double) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin_f77
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The hookst_f77 method finds a new step by the More-Hebdon algorithm.
- howLong() - Method in class com.itemanalysis.psychometrics.optimization.QNMinimizer.Record
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Return the time in seconds since this class was created.
- hsnint_f77(int, double[][], double[], int[]) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin
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The hsnint_f77 method provides the initial Hessian when secant
updates are being used.
- hsnint_f77(int, double[][], double[], int[]) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin_f77
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The hsnint_f77 method provides the initial Hessian when secant
updates are being used.
- Huynh - Class in com.itemanalysis.psychometrics.reliability
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Computes Huynh's decision consistency indices.
- Huynh(int, int, int, double, double, int[]) - Constructor for class com.itemanalysis.psychometrics.reliability.Huynh
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- hypergeometric(int, int, int, int) - Static method in class com.itemanalysis.psychometrics.optimization.SloppyMath
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Find a hypergeometric distribution.