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BeQut  

Bayesian Estimation for Quantile Regression Mixed Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("BeQut", "0.1.0")



Attach the package and use:
library("BeQut")
Maintained by
Antoine Barbieri
[Scholar Profile | Author Map]
First Published: 2023-11-09
Latest Update: 2023-11-09
Description:
Using a Bayesian estimation procedure, this package fits linear quantile regression models such as linear quantile models, linear quantile mixed models, quantile regression joint models for time-to-event and longitudinal data. The estimation procedure is based on the asymmetric Laplace distribution and the 'JAGS' software is used to get posterior samples (Yang, Luo, DeSantis (2019) ).
How to cite:
Antoine Barbieri (2023). BeQut: Bayesian Estimation for Quantile Regression Mixed Models. R package version 0.1.0, https://cran.r-project.org/web/packages/BeQut. Accessed 08 May. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited BeQut R package
View BeQut citation profile
Other R packages that BeQut depends, imports, suggests or enhances
Complete documentation for BeQut
Functions, R codes and Examples using the BeQut R package
Some associated functions: BeQut-package . dataLong . deviance . lqm . lqmm . qrjm . wave . 
Some associated R codes: BeQut-package.R . dataLong.R . deviance.R . lqm.R . lqmm.R . qrjm.R . summary.Blqm.R . summary.Blqmm.R . summary.Bqrjm.R . wave.R .  Full BeQut package functions and examples
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