ACTCD: Asymptotic Classification Theory for Cognitive Diagnosis
Version 1.1-0

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.

Package details

AuthorChia-Yi Chiu (Rutgers, the State University of New Jersey) and Wenchao Ma (Rutgers, the State University of New Jersey)
Date of publication2016-12-17 10:48:08
MaintainerWenchao Ma <[email protected]>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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ACTCD documentation built on May 30, 2017, 4:38 a.m.