- f_to_minimize(double[]) - Method in class com.itemanalysis.psychometrics.irt.equating.HaebaraMethod
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- f_to_minimize(double[]) - Method in class com.itemanalysis.psychometrics.irt.equating.StockingLordMethod
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- f_to_minimize(double[]) - Method in class com.itemanalysis.psychometrics.irt.estimation.ItemLogLikelihood
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Method required by Uncmin_methods interface
- f_to_minimize(double[]) - Method in interface com.itemanalysis.psychometrics.irt.estimation.ItemLogLikelihoodFunction
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Computes the loglikelihood value for an item.
- f_to_minimize(double[]) - Method in class com.itemanalysis.psychometrics.polycor.PolychoricMaximumLikelihood.MaximumLikelihoodFunction
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- f_to_minimize(double) - Method in class com.itemanalysis.psychometrics.polycor.PolychoricTwoStep.TwoStepLikelihoodFunction
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- f_to_minimize(double) - Method in interface com.itemanalysis.psychometrics.uncmin.Fmin_methods
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- f_to_minimize(double[]) - Method in interface com.itemanalysis.psychometrics.uncmin.Uncmin_methods
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- factorial(int) - Static method in class com.itemanalysis.psychometrics.optimization.SloppyMath
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Uses floating point so that it can represent the really big numbers that come up.
- factorLoading - Variable in class com.itemanalysis.psychometrics.factoranalysis.AbstractFactorMethod
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- factorLoadingApproximation() - Method in class com.itemanalysis.psychometrics.measurement.ClassicalItem
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Deprecated.
- FactorMethod - Interface in com.itemanalysis.psychometrics.factoranalysis
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This interface allows for a variety of methods for estimating parameters in exploratory
factor analysis.
- FastHistogram - Class in com.itemanalysis.psychometrics.histogram
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- FastHistogram(HistogramType) - Constructor for class com.itemanalysis.psychometrics.histogram.FastHistogram
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- FeldtBrennan - Class in com.itemanalysis.psychometrics.reliability
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Computes teh Feldt-Brennan estimate of reliability.
- FeldtBrennan(CovarianceMatrix) - Constructor for class com.itemanalysis.psychometrics.reliability.FeldtBrennan
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- FeldtBrennan(double[][]) - Constructor for class com.itemanalysis.psychometrics.reliability.FeldtBrennan
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- FeldtGilmer - Class in com.itemanalysis.psychometrics.reliability
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Computes teh Feldt-Gilmer estimate of reliability.
- FeldtGilmer(CovarianceMatrix) - Constructor for class com.itemanalysis.psychometrics.reliability.FeldtGilmer
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- FeldtGilmer(double[][]) - Constructor for class com.itemanalysis.psychometrics.reliability.FeldtGilmer
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- filterInfinite(double[]) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
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- filterNaN(double[]) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
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- filterNaNAndInfinite(double[]) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
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- fireEMStatusEvent(String) - Method in class com.itemanalysis.psychometrics.irt.estimation.MarginalMaximumLikelihoodEstimation
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- fireEMStatusEvent(int, double, double, String) - Method in class com.itemanalysis.psychometrics.irt.estimation.MarginalMaximumLikelihoodEstimation
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- fireEMStatusEvent(String) - Method in class com.itemanalysis.psychometrics.irt.estimation.StartingValues
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- fireEMStatusEvent(int, double, double) - Method in class com.itemanalysis.psychometrics.irt.estimation.StartingValues
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- fireUncminDetailsEvent(String) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin
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Show detailed information about teh optimizer.
- fireUncminDetailsEvent(String) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin_f77
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Show detailed information about the optimizer.
- fireUncminStatusEvent(int) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin
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- fireUncminStatusEvent(int) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin_f77
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- firstDerivative(double) - Method in interface com.itemanalysis.psychometrics.irt.model.ItemResponseModelWithGradient
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Deprecated.
- fitStatistics() - Method in interface com.itemanalysis.psychometrics.mixture.MixtureModel
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- fitStatistics() - Method in class com.itemanalysis.psychometrics.mixture.MvNormalMixtureModel
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- floatArrayToDoubleArray(float[]) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
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- floatArrayToDoubleArray(float[][]) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
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- FloatFunction - Interface in com.itemanalysis.psychometrics.optimization
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An interface for double-valued functions over double arrays.
- fmin - Variable in class com.itemanalysis.psychometrics.polycor.AbstractPolychoricCorrelation
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- Fmin - Class in com.itemanalysis.psychometrics.uncmin
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This class was translated by a statistician from the FORTRAN
version of fmin.
- Fmin() - Constructor for class com.itemanalysis.psychometrics.uncmin.Fmin
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- fmin(double, double, Fmin_methods, double) - Static method in class com.itemanalysis.psychometrics.uncmin.Fmin
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This method performs a 1-dimensional minimization.
- Fmin_methods - Interface in com.itemanalysis.psychometrics.uncmin
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- focalRight() - Method in class com.itemanalysis.psychometrics.cmh.CmhTable
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- focalSize() - Method in class com.itemanalysis.psychometrics.cmh.CmhTable
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- focalSumOfScores() - Method in class com.itemanalysis.psychometrics.cmh.CmhTable
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- focalTotalSize() - Method in class com.itemanalysis.psychometrics.cmh.CochranMantelHaenszel
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- focalWrong() - Method in class com.itemanalysis.psychometrics.cmh.CmhTable
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- forslv_f77(int, double[][], double[], double[]) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin
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The forslv_f77 method solves Ax = b where A is a lower triangular matrix.
- forslv_f77(int, double[][], double[], double[]) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin_f77
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The forslv_f77 method solves Ax = b where A is a lower triangular matrix.
- free() - Method in class com.itemanalysis.psychometrics.optimization.QNMinimizer.QNInfo
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- FreedmanDiaconisBinCalculation - Class in com.itemanalysis.psychometrics.histogram
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The Freedman-Diaconis method fro computing the number of bins.
- FreedmanDiaconisBinCalculation(double, double, double, double, double) - Constructor for class com.itemanalysis.psychometrics.histogram.FreedmanDiaconisBinCalculation
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Create the Freedman-Diaconis class fro computing the number of bins.
- freeParameters() - Method in interface com.itemanalysis.psychometrics.mixture.MixtureModel
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- freeParameters() - Method in class com.itemanalysis.psychometrics.mixture.MvNormalMixtureModel
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- freq - Variable in class com.itemanalysis.psychometrics.irt.estimation.ItemResponseVector
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Number of times the response vector is observed in the sample.
- freqAt(Double) - Method in class com.itemanalysis.psychometrics.cmh.CmhTableRow
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- fstocd_f77(int, double[], Uncmin_methods, double[], double, double[]) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin
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The fstocd_f77 method finds a central difference approximation to the
gradientAt of the function to be minimized.
- fstocd_f77(int, double[], Uncmin_methods, double[], double, double[]) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin_f77
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The fstocd_f77 method finds a central difference approximation to the
gradientAt of the function to be minimized.
- fstofd_f77(int, double[], Uncmin_methods, double[], double[][], double[], double, double[]) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin
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This version of the fstofd_f77 method finds a finite difference approximation
to the Hessian.
- fstofd_f77(int, double[], Uncmin_methods, double[], double[], double[], double) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin
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This version of the fstofd_f77 method finds first order finite difference
approximations for gradients.
- fstofd_f77(int, double[], Uncmin_methods, double[], double[][], double[], double, double[]) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin_f77
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This version of the fstofd_f77 method finds a finite difference approximation
to the Hessian.
- fstofd_f77(int, double[], Uncmin_methods, double[], double[], double[], double) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin_f77
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This version of the fstofd_f77 method finds first order finite difference
approximations for gradients.
- Function - Interface in com.itemanalysis.psychometrics.optimization
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An interface for double-valued functions over double arrays.