Qval: The Q-Matrix Validation Methods Framework
Provide a variety of Q-matrix validation methods for the generalized
    cognitive diagnosis models, including the method based on the generalized
    deterministic input, noisy, and gate model (G-DINA) by de la Torre (2011)
    <doi:10.1007/s11336-011-9207-7> discrimination index (the GDI method) by
    de la Torre and Chiu (2016) <doi:10.1007/s11336-015-9467-8>, the Hull method
    by Najera et al. (2021) <doi:10.1111/bmsp.12228>, the stepwise Wald test method
    (the Wald method) by Ma and de la Torre (2020) <doi:10.1111/bmsp.12156>, the
    multiple logistic regression‑based Q‑matrix validation method (the MLR-B method)
    by Tu et al. (2022) <doi:10.3758/s13428-022-01880-x>, the beta method based on
    signal detection theory by Li and Chen (2024) <doi:10.1111/bmsp.12371> and
    Q-matrix validation based on relative fit index by Chen et al. (2013)
    <doi:10.1111/j.1745-3984.2012.00185.x>. Different research methods and iterative
    procedures during Q-matrix validating are available
    <doi:10.3758/s13428-024-02547-5>.
| Version: | 1.2.3 | 
| Depends: | R (≥ 4.1.0) | 
| Imports: | glmnet, GDINA, MASS, Matrix, nloptr, Rcpp, parallel, plyr | 
| LinkingTo: | Rcpp | 
| Published: | 2025-06-02 | 
| DOI: | 10.32614/CRAN.package.Qval | 
| Author: | Haijiang Qin  [aut, cre, cph],
  Lei Guo  [aut,
    cph] | 
| Maintainer: | Haijiang Qin  <haijiang133 at outlook.com> | 
| License: | GPL-3 | 
| URL: | https://haijiangqin.com/Qval/ | 
| NeedsCompilation: | yes | 
| Materials: | NEWS | 
| CRAN checks: | Qval results | 
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