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 step-wise Wald test method (the Wald method) by Ma and de la Torre (2020) <doi:10.1111/bmsp.12156>, the Hull method by Najera et al. (2021) <doi:10.1111/bmsp.12228>, 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>. Different research methods during Q-matrix validating are available.

Version: 0.1.6
Depends: R (≥ 4.1.0)
Imports: glmnet, GDINA, plyr, nloptr, Matrix, stats
Published: 2024-04-14
DOI: NA
Author: Haijiang Qin [aut, cre, cph], Lei Guo [aut, cph]
Maintainer: Haijiang Qin <haijiang133 at outlook.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: Qval results

Documentation:

Reference manual: Qval.pdf

Downloads:

Package source: Qval_0.1.6.tar.gz
Windows binaries: r-devel: Qval_0.1.6.zip, r-release: Qval_0.1.6.zip, r-oldrel: Qval_0.1.6.zip
macOS binaries: r-release (arm64): Qval_0.1.6.tgz, r-oldrel (arm64): Qval_0.1.6.tgz, r-release (x86_64): Qval_0.1.6.tgz, r-oldrel (x86_64): Qval_0.1.6.tgz
Old sources: Qval archive

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