cdcatR: Cognitive Diagnostic Computerized Adaptive Testing

Provides a set of functions for conducting cognitive diagnostic computerized adaptive testing applications (Chen (2009) <doi:10.1007/s11336-009-9123-2>). It includes different item selection rules such us the global discrimination index (Kaplan, de la Torre, and Barrada (2015) <doi:10.1177/0146621614554650>) and the nonparametric selection method (Chang, Chiu, and Tsai (2019) <doi:10.1177/0146621618813113>), as well as several stopping rules. Functions for generating item banks and responses are also provided. To guide item bank calibration, model comparison at the item level can be conducted using the two-step likelihood ratio test statistic by Sorrel, de la Torre, Abad and Olea (2017) <doi:10.1027/1614-2241/a000131>.

Version: 1.0.1
Depends: R (≥ 3.5.0)
Imports: GDINA (≥ 2.2.0), ggplot2 (≥ 3.3.0), cowplot, foreach, doSNOW, NPCD, stats
Suggests: CDM
Published: 2020-07-02
Author: Miguel A. Sorrel [aut, cre, cph], Pablo Nájera [aut, cph], Francisco J. Abad [aut, cph]
Maintainer: Miguel A. Sorrel <miguel.sorrel at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: cdcatR results


Reference manual: cdcatR.pdf
Package source: cdcatR_1.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: cdcatR_1.0.1.tgz, r-oldrel: cdcatR_1.0.1.tgz
Old sources: cdcatR archive


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