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bayesQR  

Bayesian Quantile Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bayesQR", "2.4")



Attach the package and use:
library("bayesQR")
Maintained by
Dries F. Benoit
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-04-01
Latest Update: 2023-09-08
Description:
Bayesian quantile regression using the asymmetric Laplace distribution, both continuous as well as binary dependent variables are supported. The package consists of implementations of the methods of Yu & Moyeed (2001) , Benoit & Van den Poel (2012) and Al-Hamzawi, Yu & Benoit (2012) . To speed up the calculations, the Markov Chain Monte Carlo core of all algorithms is programmed in Fortran and called from R.
How to cite:
Dries F. Benoit (2011). bayesQR: Bayesian Quantile Regression. R package version 2.4, https://cran.r-project.org/web/packages/bayesQR. Accessed 02 Nov. 2026.
Previous versions and publish date:
(2026-07-09 07:20), 1.0 (2011-04-01 23:06), 1.1 (2011-05-11 11:09), 1.2 (2011-05-26 22:48), 1.3 (2011-06-30 19:00), 2.0 (2013-01-04 16:48), 2.1 (2013-02-18 16:59), 2.2 (2014-04-18 00:35), 2.3 (2017-01-27 10:38)
Other packages that cited bayesQR R package
View bayesQR citation profile
Other R packages that bayesQR depends, imports, suggests or enhances
Complete documentation for bayesQR
Functions, R codes and Examples using the bayesQR R package
Some associated functions: Churn . Prostate . bayesQR . plot.bayesQR . predict.bayesQR . print.bayesQR . print.bayesQR.summary . prior . summary.bayesQR . 
Some associated R codes: Full bayesQR package functions and examples
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