Asymptotic Classification Theory for Cognitive Diagnosis

Cluster analysis for cognitive diagnosis based on the Asymptotic Classification Theory (Chiu, Douglas & Li, 2009; ). Given the sample statistic of sum-scores, 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.


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1.2-0 by Wenchao Ma, 3 years ago

Browse source code at

Authors: Chia-Yi Chiu (Rutgers , the State University of New Jersey) and Wenchao Ma (The University of Alabama)

Documentation:   PDF Manual  

GPL (>= 2) license

Imports GDINA, stats, utils

Depends on R.methodsS3

See at CRAN