Package: ACTCD 1.4-0

ACTCD: Asymptotic Classification Theory for Cognitive Diagnosis

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.

Authors:Chia-Yi Chiu [aut], Wenchao Ma [aut, cre]

ACTCD_1.4-0.tar.gz
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ACTCD_1.4-0.tgz(r-4.6-x86_64)ACTCD_1.4-0.tgz(r-4.6-arm64)ACTCD_1.4-0.tgz(r-4.5-x86_64)ACTCD_1.4-0.tgz(r-4.5-arm64)
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ACTCD_1.4-0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ACTCD/json (API)

# Install 'ACTCD' in R:
install.packages('ACTCD', repos = c('https://wenchao-ma.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • perm3 - The partial orders of the attribute patterns for 'labeling'
  • perm4 - The partial orders of the attribute patterns for 'labeling'
  • sim.dat - Simulated data
  • sim.Q - A complete Q-matrix used to generate 'sim.dat'.

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 7 scripts 336 downloads 5 exports 59 dependencies

Last updated from:17a5a8a157. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK206
linux-devel-x86_64OK201
source / vignettesOK305
linux-release-arm64OK201
linux-release-x86_64OK210
macos-release-arm64OK169
macos-release-x86_64OK174
macos-oldrel-arm64OK133
macos-oldrel-x86_64OK219
windows-develOK115
windows-releaseOK121
windows-oldrelOK106
wasm-releaseOK134

Exports:alphacd.clusteretalabelingnpar.CDM

Dependencies:alabamabase64encbslibcachemclicodetoolscommonmarkcpp11digestfarverfastmapfontawesomeforeachfsfuturefuture.applyGDINAggplot2globalsgluegtablehtmltoolshttpuvisobanditeratorsjquerylibjsonlitelabelinglaterlifecyclelistenvmagrittrMASSmemoisemimenloptrnumDerivotelparallellypromisesR.methodsS3R6rappdirsRColorBrewerRcppRcppArmadillorlangRsolnpS7sassscalesshinyshinydashboardsourcetoolstruncnormvctrsviridisLitewithrxtable