Package: ohoegdm 0.1.1

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. (2021) <doi:10.1080/00273171.2021.1985949>.

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

ohoegdm_0.1.1.tar.gz
ohoegdm_0.1.1.zip(r-4.7-x86_64)ohoegdm_0.1.1.zip(r-4.7-arm64)ohoegdm_0.1.1.zip(r-4.6-x86_64)ohoegdm_0.1.1.zip(r-4.6-arm64)
ohoegdm_0.1.1.tar.gz(r-4.7-arm64)ohoegdm_0.1.1.tar.gz(r-4.7-x86_64)ohoegdm_0.1.1.tar.gz(r-4.6-arm64)ohoegdm_0.1.1.tar.gz(r-4.6-x86_64)
ohoegdm_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ohoegdm/json (API)

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

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

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

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

On CRAN:

Conda:

openblascppopenmp

1.70 score 321 downloads 4 exports 2 dependencies

Last updated from:861721ab8d. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK109
linux-devel-x86_64OK154
source / vignettesOK204
linux-release-arm64OK108
linux-release-x86_64OK113
windows-devel-arm64OK233
windows-devel-x86_64OK142
windows-release-arm64OK174
windows-release-x86_64OK105
wasm-releaseOK110

Exports:gen_bijectionvectorGenerateAtableohoegdmsim_slcm

Dependencies:RcppRcppArmadillo