Perform a Bayesian estimation of the ordinal exploratory Higher-order General Diagnostic Model (OHOEGDM) for Polytomous Data described by Culpepper, S. A. and Balamuta, J. J. (In Press) <doi:10.1080/00273171.2021.1985949>.
Version: | 0.1.0 |
Imports: | Rcpp |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | edmdata, covr |
Published: | 2022-02-24 |
Author: | Steven Andrew Culpepper [aut, cph], James Joseph Balamuta [aut, cre, cph] |
Maintainer: | James Joseph Balamuta <balamut2 at illinois.edu> |
BugReports: | https://github.com/tmsalab/ohoegdm/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/tmsalab/ohoegdm, https://tmsalab.github.io/ohoegdm/ |
NeedsCompilation: | yes |
Citation: | ohoegdm citation info |
Materials: | README NEWS |
In views: | Psychometrics |
CRAN checks: | ohoegdm results |
Reference manual: | ohoegdm.pdf |
Package source: | ohoegdm_0.1.0.tar.gz |
Windows binaries: | r-devel: ohoegdm_0.1.0.zip, r-release: ohoegdm_0.1.0.zip, r-oldrel: ohoegdm_0.1.0.zip |
macOS binaries: | r-release (arm64): ohoegdm_0.1.0.tgz, r-oldrel (arm64): ohoegdm_0.1.0.tgz, r-release (x86_64): ohoegdm_0.1.0.tgz, r-oldrel (x86_64): ohoegdm_0.1.0.tgz |
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