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 (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: 0.2.1
Depends: R (≥ 3.5), faux, dplyr, brms, tidyr, stats
Suggests: rmarkdown, knitr, ggplot2, modelsummary, marginaleffects, haven, stringr, Hmisc
Published: 2022-02-25
Author: Robert Kubinec ORCID iD [aut, cre]
Maintainer: Robert Kubinec <rmk7 at nyu.edu>
BugReports: https://github.com/saudiwin/ordbetareg_pack/issues
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: ordbetareg results


Reference manual: ordbetareg.pdf
Vignettes: package_introduction


Package source: ordbetareg_0.2.1.tar.gz
Windows binaries: r-devel: ordbetareg_0.2.1.zip, r-release: ordbetareg_0.2.1.zip, r-oldrel: ordbetareg_0.2.1.zip
macOS binaries: r-release (arm64): ordbetareg_0.2.1.tgz, r-oldrel (arm64): ordbetareg_0.2.1.tgz, r-release (x86_64): ordbetareg_0.2.1.tgz, r-oldrel (x86_64): ordbetareg_0.2.1.tgz
Old sources: ordbetareg archive


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