Analyze                 Analyze test or rating scale data defined in
                        'dataList'.
ArcLength.plot          Plot the score index 'theta' as a function of
                        arc length.
DHfun                   Compute the first and second derivatives of the
                        negative log likelihoods
Entropy.plot            Plot item entropy curves for selected items or
                        questions.
Hcurve                  Construct grid of 101 values of the fitting
                        function
Hfun                    Compute the negative log likelihoods associated
                        with a vector of score index values.
Hfuns.plot              Plot a selection of fit criterion H functions
                        and their first two derivatives.
ICC.fit                 Estimate the option probability and surprisal
                        curves.
ICC.plot                Plot probability and surprisal curves for a
                        selection of test or scale items.
Power.plot              Plot item power curves for selected items or
                        questions.
Quantshort_U            Test data for 24 math calculation questions
                        from the SweSAT Quantitative data.
Quantshort_dataList     List of objects essential for an analysis of
                        the abbreviated SweSAT Quantitative multiple
                        choice test.
Quantshort_infoList     Arclength or information arameter list for 24
                        items from the quantitative SweSAT subtest.
Quantshort_key          Option information for the short form of the
                        SweSAT Quantitative test.
Quantshort_parList      Parameter list for 24 items from the
                        quantitative SweSAT subtest.
SDS                     The Symptom Distress Scale data.
SDS_U                   Test data for Symptom Distress Scale.
SDS_dataList            List of objects essential for an analysis of
                        the Symptom Distress Scale.
SDS_infoList            Arclength or information parameter list for 13
                        items in the Symptom Distress Scale.
SDS_key                 Key for Symptom Distress Scale.
SDS_parList             Parameter list for the Symptom Distress Scale.
Sensitivity.plot        Plots all the sensitivity curves for selected
                        items or questions.
TG_density.fd           Compute a Probability Density Function
Ushort                  Test data for 24 math calculation questions
                        from the SweSAT Quantitative data.
Usimulate               Simulate a test or scale data matrix.
Wbinsmth                Estimate the option probability and surprisal
                        curves.
Wpca.plot               Plot the test information or scale curve in
                        either two or three dimensions.
dataSimulation          Simulation Based Estimates of
                        Root-mean-squared-err of Theta Estimates
density_plot            Plot the probability density function for a set
                        of test scores
entropies               Entropy measures of inter-item dependency
keyshort                Option information for the short form of the
                        SweSAT Quantitative test.
make.dataList           Make a list object containing information
                        required for analysis of choice data.
mu.plot                 Plot expected test score as a function of score
                        index
scoreDensity            Compute and plot a score density histogram and
                        and curve.
scorePerformance        Calculate mean squared error and bias for a set
                        of score index values from simulated data.
testscore               Compute the expected test score by substituting
                        probability of choices for indicator variable
                        0-1 values. Binary items assumed coded as two
                        choice items.
theta.distn             Compute score density
theta2arclen            Compute results using arc length or information
                        as the abscissa.
thetafun                Compute optimal scores
thetasearch             Ensure that estimated score index is global
