The ordbetareg
package is essentially a wrapper around brms
that
enables the ordered beta regression model to be fit. This model has
advantages over other alternatives for continous data with upper
and lower bounds, such as survey sliders, indexes,
dose-response relationships,
and visual analog scales (among others). The package allows for all of the
many brms
regression modeling functions to be used with the ordered
beta regression distribution.
Maintainer: Robert Kubinec bobkubinec@gmail.com (ORCID)
To learn more about how the package works, see the vignette by using
the command browseVignettes(package='ordbetareg')
.
For more info about the distribution, see this paper: https://osf.io/preprints/socarxiv/2sx6y/
To cite the package, please cite the following paper:
Kubinec, Robert. "Ordered Beta Regression: A Parsimonious, Well-Fitting Model for Continuous Data with Lower and Upper Bounds." Political Analysis. 2022.
Useful links:
Report bugs at https://github.com/saudiwin/ordbetareg_pack/issues