R: The Nonparametric Classification Methods for Cognitive Diagnosis

# The Nonparametric Classification Methods for Cognitive Diagnosis

## Documentation for package ‘NPCDTools’ version 1.1.0

- DESCRIPTION file
- Package NEWS

## Help Pages

AAR | Attribute-wise agreement rate
bestQperm | Column permutation of a Q-matrix with respect to a benchmark Q-matrix.
correction.rate | Correction rate of a Q-matrix refinement method
distractor.check | Detect the implausible and improper distractors in a Q-Matrix for multiple-choice items
GNPC | Estimation of examinees' attribute profiles using the GNPC method
NPC | Estimation of examinees' attribute profiles using the NPC method
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.Qcompleteness | 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 proper based on a 'plausible and proper' Q
QR | Q-matrix refinement method
Q_Ozaki | Q-Matrix from Ozaki (2015)
retention.rate | Retention rate of a Q-matrix refinement method
RR | Entry-wise and vector-wise agreement rate between two Q-matrices
run_gnpc_app | Launch the GNPC Shiny app
TSQE | Two-step Q-matrix estimation method