ordbetareg: Ordered Beta Regression Models with 'brms'
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 (2023) <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: |
0.8 |
Depends: |
R (≥ 3.5), brms (≥ 2.18.0), stats |
Imports: |
dplyr, ggplot2 (≥ 3.4.0), tidyr, scales, stringr, abind, checkmate, insight, rstantools |
Suggests: |
rmarkdown, quarto, knitr, gt, modelsummary (≥ 1.4.1), marginaleffects (≥ 0.10.0), haven, Hmisc, collapse, ggthemes, glmmTMB, mice, bayestestR, gganimate, transformr, DeclareDesign |
Published: |
2025-02-03 |
DOI: |
10.32614/CRAN.package.ordbetareg |
Author: |
Robert Kubinec
[aut, cre] |
Maintainer: |
Robert Kubinec <bobkubinec at gmail.com> |
BugReports: |
https://github.com/saudiwin/ordbetareg_pack/issues |
License: |
MIT + file LICENSE |
NeedsCompilation: |
no |
Materials: |
NEWS |
In views: |
MixedModels |
CRAN checks: |
ordbetareg results |
Documentation:
Downloads:
Reverse dependencies:
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