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ohoegdm  

Ordinal Higher-Order Exploratory General Diagnostic Model for Polytomous Data
View on CRAN: Click here


Download and install ohoegdm package within the R console
Install from CRAN:
install.packages("ohoegdm")

Install from Github:
library("remotes")
install_github("cran/ohoegdm")

Install by package version:
library("remotes")
install_version("ohoegdm", "0.1.1")



Attach the package and use:
library("ohoegdm")
Maintained by
James Joseph Balamuta
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-24
Latest Update: 2022-02-24
Description:
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) .
How to cite:
James Joseph Balamuta (2022). ohoegdm: Ordinal Higher-Order Exploratory General Diagnostic Model for Polytomous Data. R package version 0.1.1, https://cran.r-project.org/web/packages/ohoegdm. Accessed 08 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:37), 0.1.0 (2022-02-24 10:30)
Other packages that cited ohoegdm R package
View ohoegdm citation profile
Other R packages that ohoegdm depends, imports, suggests or enhances
Complete documentation for ohoegdm
Functions, R codes and Examples using the ohoegdm R package
Some associated functions: GenerateAtable . gen_bijectionvector . ohoegdm-package . ohoegdm . sim_slcm . 
Some associated R codes: RcppExports.R . ohoegdm-package.R . ohoegdm-wrapper.R . summarize-mcmc.R .  Full ohoegdm package functions and examples
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