doi:10.31235/osf.io/2sx6y>. The package is a front-end to the R package 'brms', which facilitates a range of regression specifications, including hierarchical, dynamic and multivariate modeling.">

ordbetareg: Ordered Beta Regression Models with 'brms' (original) (raw)

Implements ordered beta regression models, which are for modeling continuous variables with upper and lower bounds, such as survey sliders, dose-response relationships and indexes. For more information, see Kubinec (2022) <doi:10.31235/osf.io/2sx6y>. The package is a front-end to the R package 'brms', which facilitates a range of regression specifications, including hierarchical, dynamic and multivariate modeling.

Version: 0.7.2
Depends: R (≥ 3.5), brms (≥ 2.18.0), stats
Imports: transformr, dplyr, ggplot2 (≥ 3.4.0), gganimate, tidyr
Suggests: rmarkdown, knitr, gt, modelsummary (≥ 1.4.1), marginaleffects (≥ 0.10.0), haven, stringr, Hmisc, collapse, ggthemes, glmmTMB, mice, bayestestR
Published: 2023-08-10
DOI: 10.32614/CRAN.package.ordbetareg
Author: Robert Kubinec ORCID iD [aut, cre]
Maintainer: Robert Kubinec
BugReports: https://github.com/saudiwin/ordbetareg_pack/issues
License: MIT + file
NeedsCompilation: no
Materials: NEWS
In views: MixedModels
CRAN checks: ordbetareg results

Documentation:

Downloads:

Reverse dependencies:

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=ordbetaregto link to this page.