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:	0.7.2
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 [aut, cre]
Maintainer:	Robert Kubinec <rmk7 at nyu.edu>
BugReports:	https://github.com/saudiwin/ordbetareg_pack/issues
License:	MIT + file LICENSE
NeedsCompilation:	no
Materials:	NEWS
In views:	MixedModels
CRAN checks:	ordbetareg results

Documentation:

Reference manual:	ordbetareg.pdf
Vignettes:	package_introduction

Downloads:

Package source:	ordbetareg_0.7.2.tar.gz
Windows binaries:	r-devel: ordbetareg_0.7.2.zip, r-release: ordbetareg_0.7.2.zip, r-oldrel: ordbetareg_0.7.2.zip
macOS binaries:	r-release (arm64): ordbetareg_0.7.2.tgz, r-oldrel (arm64): ordbetareg_0.7.2.tgz, r-release (x86_64): ordbetareg_0.7.2.tgz, r-oldrel (x86_64): ordbetareg_0.7.2.tgz
Old sources:	ordbetareg archive

Reverse dependencies:

Reverse suggests:

bayestestR, marginaleffects

Linking:

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