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-x86_64)MultOrdRS_0.1-2.zip(r-4.6-x86_64)MultOrdRS_0.1-2.zip(r-4.5-x86_64)
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✨
DESCRIPTION
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 332 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	137
linux-devel-x86_64	NOTE	117
source / vignettes	OK	145
linux-release-arm64	NOTE	137
linux-release-x86_64	NOTE	121
macos-release-arm64	NOTE	86
macos-release-x86_64	NOTE	279
macos-oldrel-arm64	FAIL	68
macos-oldrel-x86_64	FAIL	218
windows-devel	NOTE	131
windows-release	NOTE	132
windows-oldrel	FAIL	65
wasm-release	OK	132

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