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 regressionâbased Qâmatrix 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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=Qval to link to this page.
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