| 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 |