Changes in version 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.

                  Changes in version 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().