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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1-3 |
rolling linux/jammy R-4.5 | MultOrdRS_0.1-3.tar.gz |
214.4 KiB |
0.1-3 |
rolling linux/noble R-4.5 | MultOrdRS_0.1-3.tar.gz |
221.0 KiB |
0.1-3 |
rolling source/ R- | MultOrdRS_0.1-3.tar.gz |
50.2 KiB |
0.1-3 |
latest linux/jammy R-4.5 | MultOrdRS_0.1-3.tar.gz |
214.4 KiB |
0.1-3 |
latest linux/noble R-4.5 | MultOrdRS_0.1-3.tar.gz |
221.0 KiB |
0.1-3 |
latest source/ R- | MultOrdRS_0.1-3.tar.gz |
50.2 KiB |
0.1-3 |
2026-04-26 source/ R- | MultOrdRS_0.1-3.tar.gz |
50.2 KiB |
0.1-3 |
2026-04-23 source/ R- | MultOrdRS_0.1-3.tar.gz |
50.2 KiB |
0.1-3 |
2026-04-09 windows/windows R-4.5 | MultOrdRS_0.1-3.zip |
628.7 KiB |
0.1-3 |
2025-04-20 source/ R- | MultOrdRS_0.1-3.tar.gz |
50.2 KiB |