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 + file LICENSE |
| 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 |
Documentation:
Downloads:
Reverse dependencies:
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