Package: dcmstan

Title: Generate 'Stan' Code for Diagnostic Classification Models

Version: 0.1.0.9000

Authors@R: c(

person("W. Jake", "Thompson", , "[email protected]", role = c("aut", "cre"),

comment = c(ORCID = "0000-0001-7339-0300")),

person("Jeffrey", "Hoover", , "[email protected]", role = "aut",

comment = c(ORCID = "0000-0002-0276-0308")),

person("Auburn", "Jimenez", , "[email protected]", role = "aut",

comment = c(ORCID = "0000-0002-7072-2960")),

person("University of Kansas", role = "cph"),

person("Institute of Education Sciences", role = "fnd")

)

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.

License: MIT + file LICENSE

URL: https://dcmstan.r-dcm.org, https://github.com/r-dcm/dcmstan

BugReports: https://github.com/r-dcm/dcmstan/issues

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

Additional_repositories: https://stan-dev.r-universe.dev

Config/Needs/website: r-dcm/rdcmtemplate, ggplot2

Config/Needs/documentation: openpharma/roxylint

Config/roxylint: list(linters = roxylint::tidy)

Config/testthat/edition: 3

Encoding: UTF-8

Language: en-US

Roxygen: list(markdown = TRUE, roclets = c("namespace", "rd", "roxylint::roxylint"))

RoxygenNote: 7.3.3

VignetteBuilder: knitr