| cog_cat | Administer Cognitive Tests Using Computerized Adaptive... |
| cog_cat_sim | Perform Simulated Computerized Adaptive Testing |
| cog_irt | Fit Item Response Theory Models with Optional Contrast... |
| cogirt-package | cogirt: Cognitive Testing Using Item Response Theory |
| cpt | CPT Data |
| deriv_lambda | Derivatives and Information for Lambda |
| deriv_nu | Derivatives and Information for Nu |
| deriv_omega | Derivatives and Information for Omega |
| dich_response_model | Dichotomous Response Model |
| dich_response_sim | Simulate Dichotomous Response Model |
| ex1 | Simulated Data for a Unidimensional Two-Parameter Item... |
| ex2 | Simulated Data for a Signal Detection Weighted IRT Model |
| ex3 | Simulated Data for a Signal Detection Weighted IRT Model with... |
| ex4 | Simulated Data for a Unidimensional Two-Parameter Item... |
| ex5 | Simulated Single Subject Data for a Signal Detection Weighted... |
| flanker | Flanker Data |
| lrt | Method of anova for cogirt S3 |
| mhmc_mc | MHMC Parameter Estimates for Multiple Chains |
| mhmc_sc | MHMC Parameter Estimates for Single Chain |
| mhrm | MHRM Parameter Estimates for Multiple Chains |
| nback | N-Back Data |
| plot.cog_cat_sim | Method of Plot for Simulated Adaptive Testing Using cogirt S3 |
| plot.cog_irt | Method of Plot for cogirt S3 |
| plt | PLT Data |
| sopt | SOPT Data |
| sternberg | Sternberg Data |
| summary.cog_cat_sim | Method of Summary for cog_cat_sim S3 |
| summary.cog_irt | Method of Summary for cog_irt S3 |
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