Package: MultOrdRS 0.1-3

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:Gunther Schauberger

MultOrdRS_0.1-3.tar.gz
MultOrdRS_0.1-3.tar.gz(r-4.5-noble)MultOrdRS_0.1-3.tar.gz(r-4.4-noble)
MultOrdRS_0.1-3.tgz(r-4.4-emscripten)MultOrdRS_0.1-3.tgz(r-4.3-emscripten)
MultOrdRS.pdf |MultOrdRS.html
MultOrdRS/json (API)

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

Peer review:

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

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 206 downloads 2 exports 3 dependencies

Last updated 11 months agofrom:458159de6d. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 19 2024
R-4.5-linux-x86_64OKNov 19 2024

Exports:ctrl.multordRSmultordRS

Dependencies:RcppRcppArmadillostatmod