Asymptotic Classification Theory for Cognitive Diagnosis
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-13
- ERROR13 OK, 1 ERROR2026-03-12
- OK14 OK2026-03-10
Documentation
- Help pages
- 10includes a package overview page
- Examples that run
- 100%7 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 94%
- Return-value docs
- 100%
- Help pages citing references
- 60%
Downloads
Dependencies
Installing ACTCD adds 57 packages (29 with compiled code, 42 MB of source tarballs). Heaviest: ggplot2 6.0 MB, bslib 5.6 MB, promises 3.1 MB.
Code & Tests
Datasets
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- RR 4.1.0 released · 2021-05-18
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- RR 3.6.0 released · 2019-04-26
- 1.2-02018-04-23 · diff ↗
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- RR 3.4.0 released · 2017-04-21
- 1.1-02016-12-17 · diff ↗
- RR 3.3.0 released · 2016-05-03
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- RR 3.1.0 released · 2014-04-10
- 1.0-02013-10-22
- RR 3.0.0 released · 2013-04-03
Package metadata
- First published
- 2013-10-22
- Total releases
- 5 / 13 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.1.0
- Bundled data
- 77 KB / 4 files
- Download size
- 87 KB
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