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NPCDTools 1.1.0

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

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().

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.