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bayesQR
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.bayesQR . bayesQR citation info . bayesQR results . bayesQR.pdf . bayesQR_2.4.tar.gz . bayesQR_2.4.zip . bayesQR_2.4.zip . bayesQR_2.4.zip . bayesQR_2.4.tgz . bayesQR_2.4.tgz . bayesQR_2.4.tgz . bayesQR_2.4.tgz . bayesQR_2.4.tgz . bayesQR_2.4.tgz . bayesQR archive . https://CRAN.R-project.org/package=bayesQR .
First Published: 2011-04-01
Latest Update: 2017-01-27
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 29 Mar. 2025.
Previous versions and publish date:
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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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