Package: MultOrdRS 0.1-4
Gunther Schauberger
MultOrdRS: Model Multivariate Ordinal Responses Including Response Styles
In the case of multivariate ordinal responses, parameter estimates can be severely biased if personal response styles are ignored. This packages provides methods to account for personal response styles and to explain the effects of covariates on the response style, as proposed by Schauberger and Tutz 2021 <doi:10.1177/1471082X20978034>. The method is implemented both for the multivariate cumulative model and the multivariate adjacent categories model.
Authors:
MultOrdRS_0.1-4.tar.gz
MultOrdRS_0.1-4.zip(r-4.7-x86_64)MultOrdRS_0.1-4.zip(r-4.7-arm64)MultOrdRS_0.1-4.zip(r-4.6-x86_64)MultOrdRS_0.1-4.zip(r-4.6-arm64)
MultOrdRS_0.1-4.tar.gz(r-4.7-arm64)MultOrdRS_0.1-4.tar.gz(r-4.7-x86_64)MultOrdRS_0.1-4.tar.gz(r-4.6-arm64)MultOrdRS_0.1-4.tar.gz(r-4.6-x86_64)
MultOrdRS_0.1-4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MultOrdRS/json (API)
| # Install 'MultOrdRS' in R: |
| install.packages('MultOrdRS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:35496ff303. Checks:10 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 94 | ||
| linux-devel-x86_64 | OK | 104 | ||
| source / vignettes | OK | 180 | ||
| linux-release-arm64 | OK | 137 | ||
| linux-release-x86_64 | OK | 107 | ||
| windows-devel-arm64 | OK | 235 | ||
| windows-devel-x86_64 | OK | 156 | ||
| windows-release-arm64 | OK | 223 | ||
| windows-release-x86_64 | OK | 111 | ||
| wasm-release | OK | 89 |
Exports:ctrl.multordRSmultordRS
Dependencies:RcppRcppArmadillostatmod
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Model Multivariate Ordinal Responses Including Response Styles | MultOrdRS-package MultOrdRS |
| Control Function for multordRS | ctrl.multordRS |
| German Longitudinal Election Study 2017 (GLES17) | GLES17 |
| Model Multivariate Ordinal Responses Including Response Styles | multordRS |
| Plot function for MultOrdRS | plot.MultOrdRS |
| Tenseness data from the Freiburg Complaint Checklist (tenseness) | tenseness |