dcmstan: Generate 'Stan' Code for Diagnostic Classification Models
Diagnostic classification models are psychometric models used to categorically estimate respondents mastery, or proficiency, on a set of predefined skills (Bradshaw, 2016, <doi:10.1002/9781118956588.ch13>). Diagnostic models can be estimated with 'Stan'; however, the necessary scripts can be long and complicated. This package automates the creation of 'Stan' scripts for diagnostic classification models. Specify different types of diagnostic models, define prior distributions, and automatically generate the necessary 'Stan' code for estimating the model.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.3.0) |
| Imports: | cli,dagitty,dplyr,ggdag,glue,lifecycle,rdcmchecks,rlang (≥ 1.1.0),S7,tibble,tidyr |
| Suggests: | cmdstanr,dcmdata,knitr,rmarkdown,spelling,testthat (≥3.0.0),withr |
| Published: | 2025-11-24 |
| DOI: | 10.32614/CRAN.package.dcmstan |
| Author: | W. Jake Thompson [aut, cre], Jeffrey Hoover [aut], Auburn Jimenez [aut], University of Kansas [cph], Institute of Education Sciences [fnd] |
| Maintainer: | W. Jake Thompson <wjakethompson at gmail.com> |
| BugReports: | https://github.com/r-dcm/dcmstan/issues |
| License: | MIT + fileLICENSE |
| URL: | https://dcmstan.r-dcm.org,https://github.com/r-dcm/dcmstan |
| NeedsCompilation: | no |
| Additional_repositories: | https://stan-dev.r-universe.dev |
| Language: | en-US |
| Materials: | README,NEWS |
| CRAN checks: | dcmstan results |
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