Package: ohoegdm 0.1.1
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:
ohoegdm_0.1.1.tar.gz
ohoegdm_0.1.1.zip(r-4.7)ohoegdm_0.1.1.zip(r-4.6)ohoegdm_0.1.1.zip(r-4.5)
ohoegdm_0.1.1.tgz(r-4.6-x86_64)ohoegdm_0.1.1.tgz(r-4.6-arm64)ohoegdm_0.1.1.tgz(r-4.5-x86_64)ohoegdm_0.1.1.tgz(r-4.5-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✨
card.svg |card.png
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/docs site:https://tmsalab.github.io
diagnostic-modelexploratory-diagnostic-modelspsychometricsopenblascppopenmp
Last updated from:f47d3549dd. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 134 | ||
| linux-devel-x86_64 | OK | 191 | ||
| source / vignettes | OK | 175 | ||
| linux-release-arm64 | OK | 112 | ||
| linux-release-x86_64 | OK | 119 | ||
| macos-release-arm64 | OK | 135 | ||
| macos-release-x86_64 | OK | 342 | ||
| macos-oldrel-arm64 | OK | 121 | ||
| macos-oldrel-x86_64 | OK | 232 | ||
| windows-devel | OK | 100 | ||
| windows-release | OK | 149 | ||
| windows-oldrel | OK | 108 | ||
| wasm-release | OK | 97 |
Exports:gen_bijectionvectorGenerateAtableohoegdmsim_slcm
Dependencies:RcppRcppArmadillo
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 |
