NEWS
NPCDTools 1.1.0 (2026-03-03)
New Functions
distractor.check(): Detects implausible and improper distractors in a Q-matrix for multiple-choice items (Chiu, Köhn, & Wang, in press).
Q.implausible(): Generates a Q-matrix containing implausible MC item distractors from a proper and plausible Q-matrix.
Q.improper(): Generates a Q-matrix containing improper MC item distractors from a proper and plausible Q-matrix.
plot.GNPC(): S3 plot method for GNPC objects, providing convergence tracking visualization for individual examinees.
run_gnpc_app(): Launches an interactive Shiny application demonstrating NPC, GNPC, and G-DINA workflows.
New Dataset
Q_Ozaki: A Q-matrix for 30 multiple-choice items measuring 5 attributes from Ozaki (2015), including coded distractors.
Improvements
- Added S3
print methods for GNPC, NPC, QR, Q.completeness, and distractor.check objects, providing structured and informative summaries.
- Added convergence tracking option in
GNPC() via the track.convergence argument.
- Improved input validation across functions via internal
CheckInput().
- Consolidated internal pattern generation for consistency across all functions.
Dependency Changes
- Removed dependency on
NPCD. The TSQE() function now uses the package's own QR() function for Q-matrix refinement instead of NPCD::Qrefine().
- Removed dependency on
SimDesign.
NPCDTools 1.0 (2024-09-23)
- Initial CRAN release (2024-09-23).
- Core nonparametric classification methods:
NPC() and GNPC().
- Q-matrix tools:
Q.completeness(), Q.generate(), QR(), TSQE(), bestQperm().
- Evaluation metrics:
AAR(), PAR(), RR(), correction.rate(), retention.rate().