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
ohoegdm_0.1.0.tar.gz(r-4.5-noble)ohoegdm_0.1.0.tar.gz(r-4.4-noble)
ohoegdm_0.1.0.tgz(r-4.4-emscripten)ohoegdm_0.1.0.tgz(r-4.3-emscripten)
ohoegdm.pdf |ohoegdm.html
ohoegdm/json (API)
NEWS

# Install 'ohoegdm' in R:
install.packages('ohoegdm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

Pkgdown:https://tmsalab.github.io

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

1.70 score 205 downloads 4 exports 2 dependencies

Last updated 3 years agofrom:c8b9d51cc9. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 19 2024
R-4.5-linux-x86_64NOTENov 19 2024

Exports:gen_bijectionvectorGenerateAtableohoegdmsim_slcm

Dependencies:RcppRcppArmadillo