Package: MultOrdRS 0.1-2

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:Gunther Schauberger

MultOrdRS_0.1-2.tar.gz
MultOrdRS_0.1-2.zip(r-4.5)MultOrdRS_0.1-2.zip(r-4.4)MultOrdRS_0.1-2.zip(r-4.3)
MultOrdRS_0.1-2.tgz(r-4.4-x86_64)MultOrdRS_0.1-2.tgz(r-4.4-arm64)MultOrdRS_0.1-2.tgz(r-4.3-x86_64)MultOrdRS_0.1-2.tgz(r-4.3-arm64)
MultOrdRS_0.1-2.tar.gz(r-4.5-noble)MultOrdRS_0.1-2.tar.gz(r-4.4-noble)
MultOrdRS_0.1-2.tgz(r-4.4-emscripten)MultOrdRS_0.1-2.tgz(r-4.3-emscripten)
MultOrdRS.pdf |MultOrdRS.html✨
MultOrdRS/json (API)

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

Peer review:

Bug tracker:https://github.com/schaubert/multordrs/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • GLES17 - German Longitudinal Election Study 2017
  • tenseness - Tenseness data from the Freiburg Complaint Checklist

On CRAN:

2.00 score 197 downloads 2 exports 3 dependencies

Last updated 4 years agofrom:28a7d39738. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-win-x86_64NOTENov 06 2024
R-4.5-linux-x86_64NOTENov 06 2024
R-4.4-win-x86_64NOTENov 06 2024
R-4.4-mac-x86_64NOTENov 06 2024
R-4.4-mac-aarch64NOTENov 06 2024
R-4.3-win-x86_64NOTENov 06 2024
R-4.3-mac-x86_64NOTENov 06 2024
R-4.3-mac-aarch64NOTENov 06 2024

Exports:ctrl.multordRSmultordRS

Dependencies:RcppRcppArmadillostatmod