The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

ohoegdm: Ordinal Higher-Order Exploratory General Diagnostic Model for Polytomous 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. (In Press) <doi:10.1080/00273171.2021.1985949>.

Version: 0.1.0
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: edmdata, covr
Published: 2022-02-24
DOI: 10.32614/CRAN.package.ohoegdm
Author: Steven Andrew Culpepper ORCID iD [aut, cph], James Joseph Balamuta ORCID 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
Citation: ohoegdm citation info
Materials: README NEWS
In views: Psychometrics
CRAN checks: ohoegdm results

Documentation:

Reference manual: ohoegdm.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ohoegdm 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.
Health stats visible at Monitor.