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:	0.1.7
Depends:	R (≥ 4.1.0)
Imports:	glmnet, GDINA, plyr, nloptr, Matrix, stats
Published:	2024-07-21
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
NeedsCompilation:	no
CRAN checks:	Qval results

Documentation:

Reference manual:

Qval.pdf

Downloads:

Package source:	Qval_0.1.7.tar.gz
Windows binaries:	r-devel: Qval_0.1.7.zip, r-release: Qval_0.1.7.zip, r-oldrel: Qval_0.1.7.zip
macOS binaries:	r-release (arm64): Qval_0.1.7.tgz, r-oldrel (arm64): Qval_0.1.7.tgz, r-release (x86_64): Qval_0.1.7.tgz, r-oldrel (x86_64): Qval_0.1.7.tgz
Old sources:	Qval archive

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