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Brq: an R package for Bayesian quantile regression

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Abstract

Bayesian regression quantile has received much attention in recent literature. The objective of this paper is to illustrate Brq, a new software package in R. Brq allows for the Bayesian coefficient estimation and variable selection in regression quantile (RQ) and support Tobit and binary RQ. In addition, this package implements the Bayesian Tobit and binary RQ with lasso and adaptive lasso penalties. Further modeling functions for summarising the results, drawing trace plots, posterior histograms, autocorrelation plots, and plotting quantiles are included.

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Authors and Affiliations

  1. Department of Statistics, College of Administration and Economics, University of Al-Qadisiyah, Al Diwaniyah, Iraq

    Rahim Alhamzawi

  2. Department of Economics, Nawroz University, Duhok, Iraq

    Haithem Taha Mohammad Ali

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  1. Rahim Alhamzawi
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  2. Haithem Taha Mohammad Ali
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Correspondence to Rahim Alhamzawi.

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Alhamzawi, R., Ali, H.T.M. Brq: an R package for Bayesian quantile regression. METRON 78, 313–328 (2020). https://doi.org/10.1007/s40300-020-00190-6

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