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
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.