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ordbetareg  

Ordered Beta Regression Models with 'brms'
View on CRAN: Click here


Download and install ordbetareg package within the R console
Install from CRAN:
install.packages("ordbetareg")

Install from Github:
library("remotes")
install_github("cran/ordbetareg")

Install by package version:
library("remotes")
install_version("ordbetareg", "0.7.2")



Attach the package and use:
library("ordbetareg")
Maintained by
Robert Kubinec
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-28
Latest Update: 2023-08-10
Description:
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) . The package is a front-end to the R package 'brms', which facilitates a range of regression specifications, including hierarchical, dynamic and multivariate modeling.
How to cite:
Robert Kubinec (2022). ordbetareg: Ordered Beta Regression Models with 'brms'. R package version 0.7.2, https://cran.r-project.org/web/packages/ordbetareg
Previous versions and publish date:
0.2.0 (2022-01-28 09:20), 0.2.1 (2022-02-25 09:00), 0.5.0 (2022-10-25 07:22), 0.7.0 (2023-02-12 12:30), 0.7.1 (2023-03-15 19:10)
Other packages that cited ordbetareg R package
View ordbetareg citation profile
Other R packages that ordbetareg depends, imports, suggests or enhances
Functions, R codes and Examples using the ordbetareg R package
Some associated functions: dordbeta . fit_imputed . fit_multivariate . normalize . ord_fit_mean . ord_fit_phi . ordbetareg . pew . pp_check_ordbeta . rordbeta . sim_data . sim_ordbeta . 
Some associated R codes: distribution.R . modeling.R . package_info.R . plot.R . preparation.R .  Full ordbetareg package functions and examples
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