Bayesian Estimation of DINA Model [R package dina version 2.0.2]

dina: Bayesian Estimation of DINA Model

Estimate the Deterministic Input, Noisy "And" Gate (DINA) cognitive diagnostic model parameters using the Gibbs sampler described by Culpepper (2015) <doi:10.3102/1076998615595403>.

Version: 2.0.2

Depends: R (≥ 4.3.0), simcdm (≥ 0.1.0)

Imports: Rcpp (≥ 1.1.0)

LinkingTo: Rcpp, RcppArmadillo (≥ 15.0.2-2), simcdm, rgen

Suggests: CDM, covr, testthat

Published: 2025年09月28日

DOI: 10.32614/CRAN.package.dina

Author: Steven Andrew Culpepper ORCID iD [aut, cph], James Joseph Balamuta ORCID iD [aut, cre]

Maintainer: James Joseph Balamuta <balamut2 at illinois.edu>

BugReports: https://github.com/tmsalab/dina/issues

License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]

URL: https://github.com/tmsalab/dina, https://tmsalab.github.io/dina/

NeedsCompilation: yes

Citation: dina citation info

Materials: README, NEWS

In views: Bayesian, Psychometrics

CRAN checks: dina results

Documentation:

Reference manual: dina.html , dina.pdf

Downloads:

Package source: dina_2.0.2.tar.gz

Windows binaries: r-devel: dina_2.0.2.zip, r-release: dina_2.0.2.zip, r-oldrel: dina_2.0.2.zip

macOS binaries: r-release (arm64): dina_2.0.2.tgz, r-oldrel (arm64): dina_2.0.2.tgz, r-release (x86_64): dina_2.0.2.tgz, r-oldrel (x86_64): dina_2.0.2.tgz

Old sources: dina archive

Reverse dependencies:

Reverse enhances: CDM

Linking:

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