| NPCD-package | NPCD: The R Package for Nonparametric Methods for Cognitive Diagnosis |
| AlphaMLE | Maximum likelihood estimation of attribute profile |
| AlphaNP | Nonparametric estimation of attribute profiles |
| CDL | Log-likelihood for cognitive diagnostic models |
| CDP | Probability of correct response for cognitive diagnostic models |
| Data.DINA | Example dataset generated using DINA model |
| Data.DINO | Example dataset generated using DINO model |
| Data.Qrefine | Example dataset used for the 'Qrefine' function |
| ItemFit | Compute item fit statistics for outputs generated by estimation functions in the package |
| JMLE | Joint maximum likelihood estimation of item parameters and examinee attribute profiles |
| ModelFit | Compute overall model fit statistics for outputs generated by estimation functions in the package |
| ParMLE | Maximum likelihood estimation of item parameters for cognitive diagnostic models. |
| plot.AlphaMLE | Produce diagnostic plots |
| plot.AlphaNP | Produce diagnostic plots |
| plot.JMLE | Produce diagnostic plots |
| plot.Qrefine | Produce diagnostic plots |
| print.AlphaMLE | Print outputs generated from the functions in the package. |
| print.AlphaNP | Print outputs generated from the functions in the package. |
| print.JMLE | Print outputs generated from the functions in the package. |
| print.ParMLE | Print outputs generated from the functions in the package. |
| print.Qrefine | Print outputs generated from the functions in the package. |
| Qrefine | Refine the Q-matrix by minimizing the residual sum of square (RSS) |