- ObliminCriteria - Class in com.itemanalysis.psychometrics.factoranalysis
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- ObliminCriteria() - Constructor for class com.itemanalysis.psychometrics.factoranalysis.ObliminCriteria
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- ObliminCriteria(double) - Constructor for class com.itemanalysis.psychometrics.factoranalysis.ObliminCriteria
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- observedStandardDeviation() - Method in class com.itemanalysis.psychometrics.irt.estimation.RaschScaleQualityStatistics
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Observed standard deviation of the estimate.
- observedVariance() - Method in class com.itemanalysis.psychometrics.irt.estimation.RaschScaleQualityStatistics
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Observed variance of the estimate.
- oneTailedFishersExact(int, int, int, int) - Static method in class com.itemanalysis.psychometrics.optimization.SloppyMath
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Find a one-tailed Fisher's exact probability.
- optchk_f77(int, double[], double[], double[], double[], double[], int[], int[], double, double[], int[], int[], int[], int[], double[], int[]) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin
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The optchk_f77 method checks the input for reasonableness.
- optchk_f77(int, double[], double[], double[], double[], double[], int[], int[], double, double[], int[], int[], int[], int[], double[], int[]) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin_f77
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The optchk_f77 method checks the input for reasonableness.
- optdrv_f77(int, double[], Uncmin_methods, double[], double[], int[], int[], int[], int[], int[], int[], int[], double[], double[], double[], double[], double[], double[], double[], int[], double[][], double[], double[], double[], double[], double[], double[], double[], double[]) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin
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The optdrv_f77 method is the driver for the nonlinear optimization problem.
- optdrv_f77(int, double[], Uncmin_methods, double[], double[], int[], int[], int[], int[], int[], int[], int[], double[], double[], double[], double[], double[], double[], double[], int[], double[][], double[], double[], double[], double[], double[], double[], double[], double[]) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin_f77
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The optdrv_f77 method is the driver for the nonlinear optimization problem.
- optif0_f77(int, double[], Uncmin_methods, double[], double[], double[], int[], double[][], double[]) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin
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The optif0_f77 method minimizes a smooth nonlinear function of n variables.
- optif0_f77(int, double[], Uncmin_methods, double[], double[], double[], int[], double[][], double[]) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin_f77
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The optif0_f77 method minimizes a smooth nonlinear function of n variables.
- optif9_f77(int, double[], Uncmin_methods, double[], double[], int[], int[], int[], int[], int[], int[], int[], double[], double[], double[], double[], double[], double[], double[], int[], double[][], double[]) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin
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The optif9_f77 method minimizes a smooth nonlinear function of n variables.
- optif9_f77(int, double[], Uncmin_methods, double[], double[], int[], int[], int[], int[], int[], int[], int[], double[], double[], double[], double[], double[], double[], double[], int[], double[][], double[]) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin_f77
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The optif9_f77 method minimizes a smooth nonlinear function of n variables.
- optstp_f77(int, double[], double[], double[], double[], int[], int[], int[], double[], double[], double[], double[], int[], int[], boolean[], int[]) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin
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The optstp_f77 method determines whether the algorithm should
terminate due to any of the following:
1) problem solved within user tolerance
2) convergence within user tolerance
3) iteration limit reached
4) divergence or too restrictive maximum step (stepmx)
suspected
Translated by Steve Verrill, May 12, 1998.
- optstp_f77(int, double[], double[], double[], double[], int[], int[], int[], double[], double[], double[], double[], int[], int[], boolean[], int[]) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin_f77
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The optstp_f77 method determines whether the algorithm should
terminate due to any of the following:
1) problem solved within user tolerance
2) convergence within user tolerance
3) iteration limit reached
4) divergence or too restrictive maximum step (stepmx)
suspected
Translated by Steve Verrill, May 12, 1998.
- outputToFile - Variable in class com.itemanalysis.psychometrics.optimization.QNMinimizer
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