- AbstractBinCalculation - Class in com.itemanalysis.psychometrics.histogram
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- AbstractBinCalculation() - Constructor for class com.itemanalysis.psychometrics.histogram.AbstractBinCalculation
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Creates the object and instantiates the min and max objects.
- AbstractDiffFunction - Class in com.itemanalysis.psychometrics.analysis
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- AbstractDiffFunction() - Constructor for class com.itemanalysis.psychometrics.analysis.AbstractDiffFunction
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- AbstractDiffFunction(double) - Constructor for class com.itemanalysis.psychometrics.analysis.AbstractDiffFunction
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- AbstractDistributionApproximation - Class in com.itemanalysis.psychometrics.distribution
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- AbstractDistributionApproximation() - Constructor for class com.itemanalysis.psychometrics.distribution.AbstractDistributionApproximation
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- AbstractFactorMethod - Class in com.itemanalysis.psychometrics.factoranalysis
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An abstract implementation of FactorMethod.
- AbstractFactorMethod() - Constructor for class com.itemanalysis.psychometrics.factoranalysis.AbstractFactorMethod
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- AbstractItemFitStatistic - Class in com.itemanalysis.psychometrics.irt.estimation
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- AbstractItemFitStatistic() - Constructor for class com.itemanalysis.psychometrics.irt.estimation.AbstractItemFitStatistic
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- AbstractItemResponseModel - Class in com.itemanalysis.psychometrics.irt.model
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- AbstractItemResponseModel() - Constructor for class com.itemanalysis.psychometrics.irt.model.AbstractItemResponseModel
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- AbstractItemResponseModelWithGradient - Class in com.itemanalysis.psychometrics.irt.model
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- AbstractItemResponseModelWithGradient() - Constructor for class com.itemanalysis.psychometrics.irt.model.AbstractItemResponseModelWithGradient
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- AbstractItemResponseSummary - Class in com.itemanalysis.psychometrics.measurement
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- AbstractItemResponseSummary(VariableName) - Constructor for class com.itemanalysis.psychometrics.measurement.AbstractItemResponseSummary
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- AbstractMultivariateFunction - Class in com.itemanalysis.psychometrics.analysis
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Abstract class that includes methods for numeric computations of teh gradientAt, partial derivatives, and hessian.
- AbstractMultivariateFunction() - Constructor for class com.itemanalysis.psychometrics.analysis.AbstractMultivariateFunction
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- AbstractMultivariateFunction(double) - Constructor for class com.itemanalysis.psychometrics.analysis.AbstractMultivariateFunction
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- AbstractPolychoricCorrelation - Class in com.itemanalysis.psychometrics.polycor
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- AbstractPolychoricCorrelation() - Constructor for class com.itemanalysis.psychometrics.polycor.AbstractPolychoricCorrelation
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- AbstractPolyserialCorrelation - Class in com.itemanalysis.psychometrics.polycor
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- AbstractPolyserialCorrelation() - Constructor for class com.itemanalysis.psychometrics.polycor.AbstractPolyserialCorrelation
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- AbstractScoreReliability - Class in com.itemanalysis.psychometrics.reliability
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Methods implemented by all instances of ScoreReliability.
- AbstractScoreReliability() - Constructor for class com.itemanalysis.psychometrics.reliability.AbstractScoreReliability
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- acceptAllProposalValues() - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL
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Proposal values for every item parameter are obtained at each iteration of the estimation routine.
- acceptAllProposalValues() - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL
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Proposal values for every item parameter are obtained at each iteration of the estimation routine.
- acceptAllProposalValues() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM
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- acceptAllProposalValues() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM2
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- acceptAllProposalValues() - Method in class com.itemanalysis.psychometrics.irt.model.IrmGRM
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- acceptAllProposalValues() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM
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- acceptAllProposalValues() - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM2
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- acceptAllProposalValues() - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel
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Proposal values for every item parameter are obtained at each iteration of the estimation routine.
- acceptAllProposalValues() - Method in class com.itemanalysis.psychometrics.irt.model.RaschRatingScaleGroup
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After a complete iteration, the threshold values are replaced by the prposal values.
- acos(double) - Static method in class com.itemanalysis.psychometrics.optimization.SloppyMath
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Compute acos very quickly by directly looking up the value.
- add(EstepEstimates) - Method in class com.itemanalysis.psychometrics.irt.estimation.EstepEstimates
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- add(double[], double) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
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- add(float[], double) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
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- add(double, double[], double[], int, double) - Method in class com.itemanalysis.psychometrics.optimization.QNMinimizer.Record
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- addAllCategories(String) - Method in class com.itemanalysis.psychometrics.data.VariableAttributes
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- addAllCategories(String, VariableType) - Method in class com.itemanalysis.psychometrics.measurement.DefaultItemScoring
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Parses string from syntax file or database.
- addAllCategories(String, VariableType) - Method in interface com.itemanalysis.psychometrics.measurement.ItemScoring
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- addAllColumnFormats(TextTableColumnFormat[], int) - Method in class com.itemanalysis.psychometrics.texttable.TextTable
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- addAllColumnFormats(TextTableColumnFormat[]) - Method in class com.itemanalysis.psychometrics.texttable.TextTableRow
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- addAllValues(int[]) - Method in class com.itemanalysis.psychometrics.scaling.PercentileRank
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- addAllValues(double[]) - Method in class com.itemanalysis.psychometrics.scaling.PercentileRank
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- addCategory(Category) - Method in class com.itemanalysis.psychometrics.measurement.DefaultItemScoring
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- addCategory(Object, double) - Method in class com.itemanalysis.psychometrics.measurement.DefaultItemScoring
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- addCategory(Object, double) - Method in interface com.itemanalysis.psychometrics.measurement.ItemScoring
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- addColumnFormatAt(int, TextTableColumnFormat) - Method in class com.itemanalysis.psychometrics.texttable.TextTableRow
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- addDoubleAt(int, int, double) - Method in class com.itemanalysis.psychometrics.texttable.TextTable
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- addDoubleAt(int, double) - Method in class com.itemanalysis.psychometrics.texttable.TextTableRow
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- addEMStatusListener(EMStatusListener) - Method in class com.itemanalysis.psychometrics.irt.estimation.MarginalMaximumLikelihoodEstimation
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- addEMStatusListener(EMStatusListener) - Method in class com.itemanalysis.psychometrics.irt.estimation.StartingValues
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- addHeader(int, int, String, TextTablePosition) - Method in class com.itemanalysis.psychometrics.texttable.TextTableRow
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- addHorizontalRule(int, int, String) - Method in class com.itemanalysis.psychometrics.texttable.TextTableRow
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- addInPlace(double[], double) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
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Increases the values in this array by b.
- addInPlace(float[], double) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
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Increases the values in this array by b.
- addIntAt(int, int, int) - Method in class com.itemanalysis.psychometrics.texttable.TextTable
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- addIntAt(int, int) - Method in class com.itemanalysis.psychometrics.texttable.TextTableRow
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- addItem(ItemResponseModel, ItemResponseSummary, int) - Method in class com.itemanalysis.psychometrics.irt.model.RaschRatingScaleGroup
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Called for every item on the test, this method will add any item that has the same groupId and number
of score categories.
- addItemResponseModel(ItemResponseModel) - Method in class com.itemanalysis.psychometrics.irt.model.IrmCollection
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Add item response models to this collection.
- addLinearTransformation(DefaultLinearTransformation) - Method in class com.itemanalysis.psychometrics.scaling.RawScore
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- addLongAt(int, int, long) - Method in class com.itemanalysis.psychometrics.texttable.TextTable
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- addLongAt(int, long) - Method in class com.itemanalysis.psychometrics.texttable.TextTableRow
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- addMultInPlace(double[], double[], double) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
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Add c times the array b to array a.
- addMultInto(double[], double[], double[], double) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
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- addNextColumnFormat(TextTableColumnFormat) - Method in class com.itemanalysis.psychometrics.texttable.TextTableRow
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- addPriorsToLogLikelihood(double, double[]) - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL
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- addPriorsToLogLikelihood(double, double[]) - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL
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This method is used for marginal maximum likelihood estimation.
- addPriorsToLogLikelihood(double, double[]) - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM
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- addPriorsToLogLikelihood(double, double[]) - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM2
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- addPriorsToLogLikelihood(double, double[]) - Method in class com.itemanalysis.psychometrics.irt.model.IrmGRM
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- addPriorsToLogLikelihood(double, double[]) - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM
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- addPriorsToLogLikelihood(double, double[]) - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM2
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- addPriorsToLogLikelihood(double, double[]) - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel
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Adds prior probabilities to the loglikelihood.
- addPriorsToLogLikelihoodGradient(double[], double[]) - Method in class com.itemanalysis.psychometrics.irt.model.Irm3PL
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- addPriorsToLogLikelihoodGradient(double[], double[]) - Method in class com.itemanalysis.psychometrics.irt.model.Irm4PL
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This method is used for marginal maximum likelihood estimation.
- addPriorsToLogLikelihoodGradient(double[], double[]) - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM
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- addPriorsToLogLikelihoodGradient(double[], double[]) - Method in class com.itemanalysis.psychometrics.irt.model.IrmGPCM2
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- addPriorsToLogLikelihoodGradient(double[], double[]) - Method in class com.itemanalysis.psychometrics.irt.model.IrmGRM
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- addPriorsToLogLikelihoodGradient(double[], double[]) - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM
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- addPriorsToLogLikelihoodGradient(double[], double[]) - Method in class com.itemanalysis.psychometrics.irt.model.IrmPCM2
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- addPriorsToLogLikelihoodGradient(double[], double[]) - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModel
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Adds log-prior probabilities to the item loglikelihood.
- addRow(TextTableRow) - Method in class com.itemanalysis.psychometrics.texttable.TextTable
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- addRow(TextTableRow, TextTableColumnFormat[]) - Method in class com.itemanalysis.psychometrics.texttable.TextTable
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- addRowAt(int, TextTableRow) - Method in class com.itemanalysis.psychometrics.texttable.TextTable
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- addStringAt(int, int, String) - Method in class com.itemanalysis.psychometrics.texttable.TextTable
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- addStringAt(int, String) - Method in class com.itemanalysis.psychometrics.texttable.TextTableRow
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- addUncminStatusListener(UncminStatusListener) - Method in class com.itemanalysis.psychometrics.uncmin.DefaultUncminOptimizer
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- addUncminStatusListener(UncminStatusListener) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin
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- addUncminStatusListener(UncminStatusListener) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin_f77
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- addValue(Integer) - Method in class com.itemanalysis.psychometrics.scaling.PercentileRank
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- addValue(Double) - Method in class com.itemanalysis.psychometrics.scaling.PercentileRank
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All doubles are converted to integers see page 44, Kolen and Brennan(2004).
- addValue(Comparable<?>, Comparable<?>) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable
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- addValue(int, int) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable
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- addValue(Integer, Integer) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable
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- addValue(long, long) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable
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- addValue(char, char) - Method in class com.itemanalysis.psychometrics.statistics.TwoWayTable
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- adjustedStandardDeviation() - Method in class com.itemanalysis.psychometrics.irt.estimation.RaschScaleQualityStatistics
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An adjusted standard deviation for computing scale quality statistics.
- adjustedVariance() - Method in class com.itemanalysis.psychometrics.irt.estimation.RaschScaleQualityStatistics
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An adjusted variance for computing scale quality statistics.
- adjustment - Variable in class com.itemanalysis.psychometrics.irt.estimation.ItemResponseSummary
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- agreementSE() - Method in class com.itemanalysis.psychometrics.reliability.Huynh
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- aic() - Method in class com.itemanalysis.psychometrics.mixture.InformationFitCriteria
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- allCategories() - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItemSummary
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- allIrm - Variable in class com.itemanalysis.psychometrics.irt.model.IrmCollection
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- alpha() - Method in class com.itemanalysis.psychometrics.reliability.Huynh
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- applyInitialHessian(double[]) - Method in class com.itemanalysis.psychometrics.optimization.QNMinimizer.QNInfo
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- argmax(double[]) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
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- argmax(float[]) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
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- argmax(int[]) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
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- argmax_tieLast(double[]) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
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- argmin(double[]) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
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- argmin(float[]) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
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- argmin(int[]) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
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- ArrayMath - Class in com.itemanalysis.psychometrics.optimization
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Class ArrayMath
- ArrayMath.InvalidElementException - Exception in com.itemanalysis.psychometrics.optimization
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- assertFinite(double[], String) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
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- average(double[]) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
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