DataGeneration          Generating an artificial item response dataset
IRTest_Cont             Item and ability parameters estimation for
                        continuous response items
IRTest_Dich             Item and ability parameters estimation for
                        dichotomous items
IRTest_Mix              Item and ability parameters estimation for a
                        mixed-format item response data
IRTest_Poly             Item and ability parameters estimation for
                        polytomous items
adaptive_test           Ability parameter estimation with fixed item
                        parameters
anova.IRTest            Model comparison
best_model              Selecting the best model
cat_clps                A recommendation for category collapsing of
                        items based on item parameters
coef.IRTest             Extract Model Coefficients
coef_se                 Extract Standard Errors of Model Coefficients
dist2                   Re-parameterized two-component normal mixture
                        distribution
factor_score            Estimated factor scores
inform_f_item           Item information function
inform_f_test           Test information function
item_fit                Item fit diagnostics
latent_distribution     Latent density function
logLik.IRTest           Extract Log-Likelihood
original_par_2GM        Recovering original parameters of two-component
                        Gaussian mixture distribution from
                        re-parameterized values
plot.IRTest             Plot of the estimated latent distribution
plot_item               Plot of item response functions
print.IRTest            Printing the result
print.IRTest_summary    Printing the summary
recategorize            Recategorization of data using a new
                        categorization scheme
reliability             Marginal reliability coefficient of IRT
summary.IRTest          Summary of the results
