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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: 2.0.0
Depends: R (≥ 3.4.0), simcdm (≥ 0.1.0)
Imports: Rcpp (≥ 1.0.0)
LinkingTo: Rcpp (≥ 1.0.0), RcppArmadillo (≥ 0.9.200), simcdm, rgen
Suggests: CDM, covr, testthat
Published: 2019-02-01
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
NeedsCompilation: yes
Citation: dina citation info
Materials: README NEWS
In views: Bayesian, Psychometrics
CRAN checks: dina results

Documentation:

Reference manual: dina.pdf

Downloads:

Package source: dina_2.0.0.tar.gz
Windows binaries: r-devel: dina_2.0.0.zip, r-release: dina_2.0.0.zip, r-oldrel: dina_2.0.0.zip
macOS binaries: r-release (arm64): dina_2.0.0.tgz, r-oldrel (arm64): dina_2.0.0.tgz, r-release (x86_64): dina_2.0.0.tgz, r-oldrel (x86_64): dina_2.0.0.tgz
Old sources: dina archive

Reverse dependencies:

Reverse enhances: CDM

Linking:

Please use the canonical form https://CRAN.R-project.org/package=dina to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.