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:
ACTCD_1.4-0.tar.gz
ACTCD_1.4-0.zip(r-4.7-x86_64)ACTCD_1.4-0.zip(r-4.7-arm64)ACTCD_1.4-0.zip(r-4.6-x86_64)ACTCD_1.4-0.zip(r-4.6-arm64)ACTCD_1.4-0.zip(r-4.5-x86_64)
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)
ACTCD_1.4-0.tar.gz(r-4.7-arm64)ACTCD_1.4-0.tar.gz(r-4.7-x86_64)ACTCD_1.4-0.tar.gz(r-4.6-arm64)ACTCD_1.4-0.tar.gz(r-4.6-x86_64)
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:17a5a8a157. Checks:14 OK, 1 WARNING. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 162 | ||
| linux-devel-x86_64 | OK | 189 | ||
| source / vignettes | OK | 292 | ||
| linux-release-arm64 | OK | 148 | ||
| linux-release-x86_64 | OK | 137 | ||
| macos-release-arm64 | OK | 143 | ||
| macos-release-x86_64 | OK | 244 | ||
| macos-oldrel-arm64 | OK | 113 | ||
| macos-oldrel-x86_64 | OK | 225 | ||
| windows-devel-arm64 | OK | 189 | ||
| windows-devel-x86_64 | OK | 103 | ||
| windows-release-arm64 | WARNING | 204 | ||
| windows-release-x86_64 | OK | 114 | ||
| windows-oldrel-x86_64 | OK | 77 | ||
| wasm-release | OK | 117 |
Exports:alphacd.clusteretalabelingnpar.CDM
Dependencies:alabamabase64encbslibcachemclicodetoolscommonmarkcpp11digestfarverfastmapfontawesomeforeachfsfuturefuture.applyGDINAggplot2globalsgluegtablehtmltoolshttpuvisobanditeratorsjquerylibjsonlitelabelinglaterlifecyclelistenvmagrittrMASSmemoisemimenloptrnumDerivotelparallellypromisesR.methodsS3R6rappdirsRColorBrewerRcppRcppArmadillorlangRsolnpS7sassscalesshinyshinydashboardsourcetoolstruncnormvctrsviridisLitewithrxtable
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| ACTCD: Asymptotic Classification Theory for Cognitive Diagnosis | ACTCD |
| All possible attribute patterns | alpha |
| Cluster analysis for cognitive diagnosis based on the Asymptotic Classification Theory | cd.cluster |
| Ideal Response Patterns for all possible attribute profiles | eta |
| labeling for clusters | labeling |
| Main function for ACTCD package | npar.CDM |
| The partial orders of the attribute patterns for 'labeling' | perm perm3 perm4 |
| The function prints outputs obtained from the functions in the package. | print.cd.cluster print.labeling print.npar.CDM |
| Simulated data | sim.dat |
| A complete Q-matrix used to generate 'sim.dat'. | sim.Q |