CRAN/E | ACTCD

ACTCD

Asymptotic Classification Theory for Cognitive Diagnosis

Installation

About

Cluster analysis for cognitive diagnosis based on the Asymptotic Classification Theory (Chiu, Douglas & Li, 2009; doi:10.1007/s11336-009-9125-0). 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.

Key Metrics

Version 1.2-0
R ≥ 3.1.0
Published 2018-04-23 1985 days ago
Needs compilation? yes
License GPL-2
License GPL-3
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Maintainer

Maintainer

Wenchao Ma

wenchao.ma@ua.edu

Authors

Chia-Yi Chiu

(Rutgers, the State University of New Jersey)

Wenchao Ma

(The University of Alabama)

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

ACTCD archive

Depends

R ≥ 3.1.0
R.methodsS3

Imports

GDINA
stats
utils