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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.
| Version: | 1.3-0 |
| Depends: | R (≥ 3.1.0), R.methodsS3 |
| Imports: | GDINA, stats, utils |
| Published: | 2023-11-09 |
| DOI: | 10.32614/CRAN.package.ACTCD |
| Author: | Chia-Yi Chiu (University of Minnesota) and Wenchao Ma (The University of Alabama) |
| Maintainer: | Wenchao Ma <wenchao.ma at ua.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | ACTCD results |
| Reference manual: | ACTCD.pdf |
| Package source: | ACTCD_1.3-0.tar.gz |
| Windows binaries: | r-devel: ACTCD_1.3-0.zip, r-release: ACTCD_1.3-0.zip, r-oldrel: ACTCD_1.3-0.zip |
| macOS binaries: | r-release (arm64): ACTCD_1.3-0.tgz, r-oldrel (arm64): ACTCD_1.3-0.tgz, r-release (x86_64): ACTCD_1.3-0.tgz, r-oldrel (x86_64): ACTCD_1.3-0.tgz |
| Old sources: | ACTCD archive |
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