Generate 'Stan' Code for Diagnostic Classification Models R package dcmstan version 0.1.0 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. Software 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 W. Jake Thompson <wjakethompson@gmail.com> Comprehensive R Archive Network (CRAN) W. Jake Thompson [aut, cre] (ORCID: <https://orcid.org/0000-0001-7339-0300>), Jeffrey Hoover [aut] (ORCID: <https://orcid.org/0000-0002-0276-0308>), Auburn Jimenez [aut] (ORCID: <https://orcid.org/0000-0002-7072-2960>), University of Kansas [cph], Institute of Education Sciences [fnd] MIT + file LICENSE (https://CRAN.R-project.org/package=dcmstan/LICENSE) 2025-11-24 application/tgz https://CRAN.R-project.org/package=dcmstan doi:10.32614/CRAN.package.dcmstan en-US