- bakslv_f77(int, double[][], double[], double[]) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin
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The bakslv_f77 method solves Ax = b where A is an upper triangular
matrix.
- bakslv_f77(int, double[][], double[], double[]) - Method in class com.itemanalysis.psychometrics.uncmin.Uncmin_f77
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The bakslv_f77 method solves Ax = b where A is an upper triangular
matrix.
- Bandwidth - Interface in com.itemanalysis.psychometrics.kernel
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- beta() - Method in class com.itemanalysis.psychometrics.reliability.Huynh
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- biasCorrection() - Method in class com.itemanalysis.psychometrics.irt.estimation.JointMaximumLikelihoodEstimation
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Correct item difficulty and person ability estimates for bias.
- bic() - Method in class com.itemanalysis.psychometrics.mixture.InformationFitCriteria
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- Bin - Class in com.itemanalysis.psychometrics.histogram
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A class representing a single histogram bin.
- Bin(double, double, boolean) - Constructor for class com.itemanalysis.psychometrics.histogram.Bin
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Creates a histogram bin with the most amount of flexibility in the arguments.
- Bin(double, double, boolean, boolean) - Constructor for class com.itemanalysis.psychometrics.histogram.Bin
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This constructor is mainly used when the bin is used for something other than a histogram.
- binaryScoring() - Method in class com.itemanalysis.psychometrics.measurement.DefaultItemScoring
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Determine whether the item scoring is binary or polytomous.
- BinCalculation - Interface in com.itemanalysis.psychometrics.histogram
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An interface for class that compute the number of bins in a histogram.
- BinCalculationType - Enum in com.itemanalysis.psychometrics.histogram
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- binWidth() - Method in interface com.itemanalysis.psychometrics.histogram.BinCalculation
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Gets the width of the bin according to the calculated number of bins.
- binWidth() - Method in class com.itemanalysis.psychometrics.histogram.FreedmanDiaconisBinCalculation
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Gets the width of the bins according to the number of bins being used.
- binWidth() - Method in class com.itemanalysis.psychometrics.histogram.ScottBinCalculation
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- binWidth() - Method in class com.itemanalysis.psychometrics.histogram.SimpleBinCalculation
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- binWidth() - Method in class com.itemanalysis.psychometrics.histogram.SturgesBinCalculation
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Gets the bin width according to the number of bins calculated by Sturges' method.
- BivariateNormalDistribution - Class in com.itemanalysis.psychometrics.distribution
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- BivariateNormalDistribution() - Constructor for class com.itemanalysis.psychometrics.distribution.BivariateNormalDistribution
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- BivariateNormalDistributionImpl - Class in com.itemanalysis.psychometrics.distribution
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Computes probabilities from the Bivariate normal distribution function (i.e.
- BivariateNormalDistributionImpl() - Constructor for class com.itemanalysis.psychometrics.distribution.BivariateNormalDistributionImpl
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- bivnor(double, double, double) - Method in class com.itemanalysis.psychometrics.distribution.BivariateNormalDistribution
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- BiweightKernel - Class in com.itemanalysis.psychometrics.kernel
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- BiweightKernel() - Constructor for class com.itemanalysis.psychometrics.kernel.BiweightKernel
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- Blas_f77 - Class in com.itemanalysis.psychometrics.uncmin
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This class contains Java versions of a number of the LINPACK
basic linear algebra subroutines (blas):
isamax_f77
daxpy_f77
ddot_f77
dscal_f77
dswap_f77
dnrm2_f77
dcopy_f77
drotg_f77
It also contains utility routines that the translator found useful
while translating the FORTRAN code to Java code.
- Blas_f77() - Constructor for class com.itemanalysis.psychometrics.uncmin.Blas_f77
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- blom(double, double) - Method in class com.itemanalysis.psychometrics.statistics.NormalScores
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- BOBYQAOptimizer - Class in com.itemanalysis.psychometrics.optimization
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01/01/13: Code taken from Apache Commons Math 3.1 because it was scheduled for
deprecation.
- BOBYQAOptimizer(int) - Constructor for class com.itemanalysis.psychometrics.optimization.BOBYQAOptimizer
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- BOBYQAOptimizer(int, double, double) - Constructor for class com.itemanalysis.psychometrics.optimization.BOBYQAOptimizer
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- Bootstrap - Class in com.itemanalysis.psychometrics.statistics
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- Bootstrap(double, double) - Constructor for class com.itemanalysis.psychometrics.statistics.Bootstrap
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- Bootstrap() - Constructor for class com.itemanalysis.psychometrics.statistics.Bootstrap
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Default 95% confidence interval
- box(int[]) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
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- box(double[]) - Static method in class com.itemanalysis.psychometrics.optimization.ArrayMath
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