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dcmstan  

Generate 'Stan' Code for Diagnostic Classification Models
View on CRAN: Click here


Download and install dcmstan package within the R console
Install from CRAN:
install.packages("dcmstan")

Install from Github:
library("remotes")
install_github("cran/dcmstan")

Install by package version:
library("remotes")
install_version("dcmstan", "0.1.0")



Attach the package and use:
library("dcmstan")
Maintained by
W. Jake Thompson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-11-24
Latest Update: 2025-11-24
Description:
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.
How to cite:
W. Jake Thompson (2025). dcmstan: Generate 'Stan' Code for Diagnostic Classification Models. R package version 0.1.0, https://cran.r-project.org/web/packages/dcmstan. Accessed 25 Jun. 2026.
Previous versions and publish date:
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