Package: ohoegdm 0.1.0

James Joseph Balamuta

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>.

Authors:Steven Andrew Culpepper [aut, cph], James Joseph Balamuta [aut, cre, cph]

ohoegdm_0.1.0.tar.gz
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ohoegdm.pdf |ohoegdm.html✨
ohoegdm/json (API)
NEWS

# Install 'ohoegdm' in R:

install.packages('ohoegdm', repos = c('https://tmsalab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tmsalab/ohoegdm/issues

Pkgdown site:https://tmsalab.github.io

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

On CRAN:

diagnostic-model exploratory-diagnostic-models psychometrics openblas cpp openmp

2.70 score 269 downloads 4 exports 2 dependencies

Last updated 3 years agofrom:3c8b91ca54. Checks:1 OK, 10 NOTE. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Jan 30 2025
R-4.5-win-x86_64	NOTE	Jan 30 2025
R-4.5-mac-x86_64	NOTE	Jan 30 2025
R-4.5-mac-aarch64	NOTE	Jan 30 2025
R-4.5-linux-x86_64	NOTE	Jan 30 2025
R-4.4-win-x86_64	NOTE	Jan 30 2025
R-4.4-mac-x86_64	NOTE	Jan 30 2025
R-4.4-mac-aarch64	NOTE	Jan 30 2025
R-4.3-win-x86_64	NOTE	Jan 30 2025
R-4.3-mac-x86_64	NOTE	Jan 30 2025
R-4.3-mac-aarch64	NOTE	Dec 31 2024

Exports:gen_bijectionvector GenerateAtable ohoegdm sim_slcm

Dependencies:Rcpp RcppArmadillo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Generate a vector to map polytomous vector to integers	gen_bijectionvector
Generate tables that store different design elements	GenerateAtable
Ordinal Higher-Order General Diagnostic Model under the Exploratory Framework (OHOEGDM)	ohoegdm
Simulate Ordinal Item Data from a Sparse Latent Class Model	sim_slcm