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 [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

Documentation:

Reference manual:	ordbetareg.pdf
Vignettes:	package_introduction

Downloads:

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

Linking:

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