AMS                     Alpha Shape-Parameter Given
                        Location-Parameters, Mean, Variance, Skewness,
                        Kurtosis and Beta Shape-Parameter of a
                        Four-Parameter Beta PDD.
AUC                     Area Under the ROC Curve.
BMS                     Beta Shape-Parameter Given Location-Parameters,
                        Mean, Variance, Skewness, Kurtosis and Alpha
                        Shape-Parameter of a Four-Parameter Beta PDD.
Beta.2p.fit             Method of Moment Estimates of Shape-Parameters
                        of the Two-Parameter (Standard) Beta
                        Distribution.
Beta.4p.fit             Method of Moment Estimates of Shape- and
                        Location Parameters of the Four-Parameter Beta
                        Distribution.
Beta.gfx.poly.cdf       Coordinate Generation for Marking an Area Under
                        the Curve for the Beta Cumulative Probability
                        Density Distribution.
Beta.gfx.poly.pdf       Coordinate Generation for Marking an Area Under
                        the Curve for the Beta Probability Density
                        Distribution.
Beta.gfx.poly.qdf       Coordinate Generation for Marking an Area Under
                        the Curve for the Beta Quantile Density
                        Distribution.
Beta.tp.fit             Estimate Beta true-score distribution based on
                        observed-score raw-moments and the effective
                        test length.
ETL                     Livingston and Lewis' "Effective Test Length".
LABMSU                  Lower Location Parameter Given Shape
                        Parameters, Mean, Variance, and Upper Location
                        Parameter of a Four-Parameter Beta PDD.
LL.CA                   An Implementation of the Livingston and Lewis
                        (1995) Approach to Estimate Classification
                        Consistency and Accuracy based on Observed Test
                        Scores and Test Reliability.
LL.CA.MC                An Extension of the Livingston and Lewis (1995)
                        Approach to Estimate Classification Consistency
                        and Accuracy for Multiple Classifications based
                        on Observed Test Scores and Test Reliability.
LL.ROC                  ROC curves for the Livingston and Lewis
                        approach.
MLA                     Most Likely True Alpha Value Given Observed
                        Outcome.
MLB                     Most Likely True Beta Value Given Observed
                        Outcome.
MLM                     Most Likely Mean of the Standard Beta PDD,
                        Given that the Observation is Considered the
                        Most Likely Observation of the Standard Beta
                        PDD (i.e., the mode).
UABMSL                  Upper Location Parameter Given Shape
                        Parameters, Mean, Variance, and Lower Location
                        Parameter of a Four-Parameter Beta PDD.
afac                    Ascending (rising) factorial.
betamedian              Compute Median of Two- and Four-Parameter Beta
                        Probability Density distribution.
betamode                Compute Mode of Two- and Four-Parameter Beta
                        Probability Density distribution.
betamoments             Compute Moments of Two-to-Four Parameter Beta
                        Probability Density Distributions.
binomialmoments         Compute Moments of Binomial Probability Mass
                        Functions.
caStats                 Classification Accuracy Statistics.
cba                     Calculate Cronbach's Alpha from supplied
                        variables.
ccStats                 Classification Consistency Statistics.
confmat                 Confusion matrix
dBeta.4P                Probability Density under the Four-Parameter
                        Beta PDD.
dBeta.pBeta             An implementation of a Beta-density Compound
                        Cumulative-Beta Distribution.
dBeta.pBinom            An implementation of the Beta-density Compound
                        Cumulative Binomial Distribution.
dBeta.pGammaBinom       An implementation of a Beta-density Compound
                        Cumulative Gamma-Binomial Distribution.
dBetaMS                 Density Under a Specific Point of the Standard
                        Beta PDD with Specific Mean and Variance or
                        Standard Deviation.
dGammaBinom             Probability density function under the
                        Gamma-extended Binomial distribution.
dfac                    Descending (falling) factorial.
gchoose                 Gamma-extended Binomial coefficient (choose
                        function).
observedmoments         Compute Moments of Observed Value Distribution.
pBeta.4P                Cumulative Probability Function under the
                        Four-Parameter Beta Probability Density
                        Distribution.
pBetaMS                 Probability of Some Specific Observation under
                        the Standard Beta PDD with Specific Mean and
                        Variance.
pGammaBinom             Cumulative probability density function under
                        the Gamma-extended Binomial distribution.
qBeta.4P                Quantile Given Probability Under the
                        Four-Parameter Beta Distribution.
qBetaMS                 Quantile Containing Specific Proportion of the
                        Distribution, Given a Specific Probability of
                        the Standard Beta PDD with Specific Mean and
                        Variance or Standard Deviation.
qGammaBinom             Quantile function for the Gamma-extended
                        Binomial distribution.
rBeta.4P                Random Number Generation under the
                        Four-Parameter Beta Probability Density
                        Distribution.
rBetaMS                 Random Draw from the Standard Beta PDD With
                        Specific Mean and Variance.
rGammaBinom             Random number generation under the
                        Gamma-extended Binomial distribution.
tsm                     Proportional true-score distribution raw
                        moments from Livingston and Lewis' effective
                        test-score and effective test-length.
