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edina: Bayesian Estimation of an Exploratory Deterministic Input, Noisy and Gate Model

Perform a Bayesian estimation of the exploratory deterministic input, noisy and gate (EDINA) cognitive diagnostic model described by Chen et al. (2018) <doi:10.1007/s11336-017-9579-4>.

Version: 0.1.1
Depends: R (≥ 3.5.0)
Imports: Rcpp, ggplot2, jjb, reshape2
LinkingTo: Rcpp, RcppArmadillo, rgen
Suggests: simcdm
Published: 2020-03-25
DOI: 10.32614/CRAN.package.edina
Author: James Joseph Balamuta ORCID iD [aut, cre, cph], Steven Andrew Culpepper ORCID iD [aut, cph], Jeffrey A. Douglas [aut]
Maintainer: James Joseph Balamuta <balamut2 at illinois.edu>
BugReports: https://github.com/tmsalab/edina/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/tmsalab/edina
NeedsCompilation: yes
Language: en-US
Citation: edina citation info
Materials: README NEWS
In views: Bayesian, Psychometrics
CRAN checks: edina results

Documentation:

Reference manual: edina.pdf

Downloads:

Package source: edina_0.1.1.tar.gz
Windows binaries: r-devel: edina_0.1.1.zip, r-release: edina_0.1.1.zip, r-oldrel: edina_0.1.1.zip
macOS binaries: r-release (arm64): edina_0.1.1.tgz, r-oldrel (arm64): edina_0.1.1.tgz, r-release (x86_64): edina_0.1.1.tgz, r-oldrel (x86_64): edina_0.1.1.tgz
Old sources: edina archive

Linking:

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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.
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