Man pages for NPCDTools
The Nonparametric Classification Methods for Cognitive Diagnosis
| AAR | Attribute-wise agreement rate |
| bestQperm | Column permutation of a Q-matrix with respect to a benchmark... |
| correction.rate | Correction rate of a Q-matrix refinement method |
| distractor.check | Detect the implausible and improper distractors in a Q-Matrix... |
| GNPC | Estimation of examinees' attribute profiles using the GNPC... |
| mcdat.generate | Generation of MC Responses |
| MCNPC | The Nonparametric Classification Method for Multiple-Choice... |
| mcQ.generate | Generation of Plausible and Proper Q-matrix with Coded... |
| NPC | Estimation of examinees' attribute profiles using the NPC... |
| PAR | Pattern-wise agreement rate |
| plot.GNPC | Plot Diagnostics for GNPC |
| print.distractor.check | Print the Summary of Distractor Check Results |
| print.GNPC | Print the Summary of a GNPC Object |
| print.NPC | Print the Summary of an NPC Object |
| print.Q.completeness | Print Summary of a Qcompleteness Object |
| print.Qrefine | Print Summary of the Q-Matrix Refinement Result |
| Q.completeness | Check the completeness status of a binary Q-matrix |
| Q.generate | Generation of dichotomous Q-matrix |
| Q.implausible | Generation of a Q-matrix that contains implausible MC items |
| Q.improper | Generation of a Q-matrix with improper MC items that are not... |
| Q_Ozaki | Q-Matrix from Ozaki (2015) |
| QR | Q-matrix refinement method |
| retention.rate | Retention rate of a Q-matrix refinement method |
| RR | Entry-wise and vector-wise agreement rate between two... |
| run_gnpc_app | Launch the GNPC Shiny app |
| TSQE | Two-step Q-matrix estimation method |
