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-4.7)MultOrdRS_0.1-2.zip(r-4.6)MultOrdRS_0.1-2.zip(r-4.5)
MultOrdRS_0.1-2.tgz(r-4.6-x86_64)MultOrdRS_0.1-2.tgz(r-4.6-arm64)MultOrdRS_0.1-2.tgz(r-4.5-x86_64)MultOrdRS_0.1-2.tgz(r-4.5-arm64)
MultOrdRS_0.1-2.tar.gz(r-4.7-arm64)MultOrdRS_0.1-2.tar.gz(r-4.7-x86_64)MultOrdRS_0.1-2.tar.gz(r-4.6-arm64)MultOrdRS_0.1-2.tar.gz(r-4.6-x86_64)
MultOrdRS_0.1-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MultOrdRS/json (API)

# Install 'MultOrdRS' in R:

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

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:

openblas cpp openmp

2.00 score 174 downloads 2 exports 3 dependencies

Last updated from:28a7d39738. Checks:8 NOTE, 2 OK, 3 FAIL. Indexed: yes.

Target	Result	Time
linux-devel-arm64	NOTE	142
linux-devel-x86_64	NOTE	121
source / vignettes	OK	201
linux-release-arm64	NOTE	129
linux-release-x86_64	NOTE	122
macos-release-arm64	NOTE	95
macos-release-x86_64	NOTE	274
macos-oldrel-arm64	FAIL	74
macos-oldrel-x86_64	FAIL	172
windows-devel	NOTE	174
windows-release	NOTE	121
windows-oldrel	FAIL	62
wasm-release	OK	105

Exports:ctrl.multordRS multordRS

Dependencies:Rcpp RcppArmadillo statmod

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Model Multivariate Ordinal Responses Including Response Styles	MultOrdRS-package
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