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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
 [aut, cre,
cph],
Steven Andrew Culpepper
[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:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=edina
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.