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 [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 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.
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