| 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 | 
| DataGeneration | Generating an artificial item response dataset | 
| 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 | 
| 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 | 
| 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 |