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:

Reference manual:	dcmstan.html , dcmstan.pdf
Vignettes:	Introduction to dcmstan (source, R code)

Downloads:

Package source:	dcmstan_0.1.0.tar.gz
Windows binaries:	r-devel: dcmstan_0.1.0.zip, r-release: dcmstan_0.1.0.zip, r-oldrel: dcmstan_0.1.0.zip
macOS binaries:	r-release (arm64): dcmstan_0.1.0.tgz, r-oldrel (arm64): dcmstan_0.1.0.tgz, r-release (x86_64): dcmstan_0.1.0.tgz, r-oldrel (x86_64): dcmstan_0.1.0.tgz

Reverse dependencies:

Reverse imports:

measr

Linking:

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