ACTCD: Asymptotic Classification Theory for Cognitive Diagnosis

This package includes functions used to perform cluster analysis for cognitive diagnosis based on the Asymptotic Classification Theory (Chiu, Douglas & Li, 2009). Given the sample statistic of sum-scores and the item-by-attribute association matrix (Q-matrix; Tatsuoka, 1985), cluster analysis techniques can be used to classify examinees into latent classes based on their attribute patterns. In addition to the algorithms used to classify data, three labeling approaches are proposed to label clusters so that examinees' attribute profiles can be obtained.

Version: 1.0-0
Depends: R (≥ 2.15.1), R.methodsS3
Published: 2013-10-22
Author: Chia-Yi Chiu (Rutgers, the State University of New Jersey) and Wenchao Ma (Rutgers, the State University of New Jersey)
Maintainer: Wenchao Ma <wenchao.ma at rutgers.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: ACTCD results

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Reference manual: ACTCD.pdf
Package source: ACTCD_1.0-0.tar.gz
Windows binaries: r-devel: ACTCD_1.0-0.zip, r-release: ACTCD_1.0-0.zip, r-oldrel: ACTCD_1.0-0.zip
OS X Mavericks binaries: r-release: ACTCD_1.0-0.tgz, r-oldrel: ACTCD_1.0-0.tgz

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