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ohoegdm: Ordinal Higher-Order Exploratory General Diagnostic Model forPolytomous Data

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. (2021) <doi:10.1080/00273171.2021.1985949>.

Version:0.1.1
Depends:R (≥ 4.3.0)
Imports:Rcpp (≥ 1.1.0)
LinkingTo:Rcpp,RcppArmadillo (≥ 15.0.2-2)
Suggests:edmdata,covr
Published:2025-09-27
DOI:10.32614/CRAN.package.ohoegdm
Author:Steven Andrew CulpepperORCID iD [aut, cph], James Joseph BalamutaORCID iD [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
Language:en-US
Citation:ohoegdm citation info
Materials:README,NEWS
In views:Psychometrics
CRAN checks:ohoegdm results

Documentation:

Reference manual:ohoegdm.html ,ohoegdm.pdf

Downloads:

Package source: ohoegdm_0.1.1.tar.gz
Windows binaries: r-devel:ohoegdm_0.1.1.zip, r-release:ohoegdm_0.1.1.zip, r-oldrel:ohoegdm_0.1.1.zip
macOS binaries: r-release (arm64):ohoegdm_0.1.1.tgz, r-oldrel (arm64):ohoegdm_0.1.1.tgz, r-release (x86_64):ohoegdm_0.1.1.tgz, r-oldrel (x86_64):ohoegdm_0.1.1.tgz
Old sources: ohoegdm archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=ohoegdmto link to this page.


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