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MultOrdRS  

Model Multivariate Ordinal Responses Including Response Styles
View on CRAN: Click here


Download and install MultOrdRS package within the R console
Install from CRAN:
install.packages("MultOrdRS")

Install from Github:
library("remotes")
install_github("cran/MultOrdRS")

Install by package version:
library("remotes")
install_version("MultOrdRS", "0.1-3")



Attach the package and use:
library("MultOrdRS")
Maintained by
Gunther Schauberger
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-03-23
Latest Update: 2021-03-29
Description:
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 . The method is implemented both for the multivariate cumulative model and the multivariate adjacent categories model.
How to cite:
Gunther Schauberger (2021). MultOrdRS: Model Multivariate Ordinal Responses Including Response Styles. R package version 0.1-3, https://cran.r-project.org/web/packages/MultOrdRS
Previous versions and publish date:
0.1-1 (2021-03-23 09:20), 0.1-2 (2021-03-30 01:42)
Other packages that cited MultOrdRS R package
View MultOrdRS citation profile
Other R packages that MultOrdRS depends, imports, suggests or enhances
Functions, R codes and Examples using the MultOrdRS R package
Some associated functions: GLES17 . MultOrdRS-package . ctrl.multordRS . multordRS . plot.MultOrdRS . tenseness . 
Some associated R codes: MultOrdRS-package.R . MultOrdRS.R . RcppExports.R . estimate.acat.R . estimate.cumul.R . plot.multordRS.R . print.multordRS.R .  Full MultOrdRS package functions and examples
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