Bayesian Quantile Regression with Lasso and Adaptive Lasso R package bbqr version 0.1.0 Markov chain Monte Carlo samplers for Bayesian quantile regression, based on the asymmetric Laplace distribution and the location-scale mixture representation of Kozumi and Kobayashi (2011) <doi:10.1080/00949655.2010.496117>. A binary response and an observed continuous response are both supported, each with three penalty layers behind one interface: no penalty, following Benoit and Van den Poel (2012) <doi:10.1002/jae.1216>; the Bayesian lasso, following Benoit, Al-Hamzawi and Yu (2013) <doi:10.1007/s00180-013-0439-0>; and the Bayesian adaptive lasso of Rubio Garcia (2023) <https://soar.wichita.edu/entities/publication/a2f86232-4704-4ec2-b685-751e7b04ec42>. In the binary family each is available as published and in a corrected form, the default, in which every improper prior component is replaced by a proper one so that the posterior exists unconditionally; the continuous family ships the corrected form only. The continuous adaptive-lasso layer at its default reproduces the penalty of Alhamzawi, Yu and Benoit (2012) <doi:10.1177/1471082X1101200304>. A binary threshold model identifies the coefficient vector only up to a positive scale, so the binary samplers expose the identification anchor as an explicit argument, allowing fixing the scale of the error distribution, fixing a single coefficient, and constraining the norm of the coefficient vector to be compared directly; an observed response identifies the scale, so the continuous samplers have no anchor and draw it every sweep. The MCMC cores are written in Fortran and called from R. Software Depends: R (>= 4.2) Imports: graphics, stats, utils Suggests: testthat (>= 3.0.0), coda, knitr, rmarkdown, quantreg Fernando Rubio Garcia <j332v755@wichita.edu> Comprehensive R Archive Network (CRAN) Fernando Rubio Garcia [aut, cre] (Wichita State University), Dries F. Benoit [ctb, cph] (Author of 'bayesQR', from which the Fortran RNG wrapper and package layout are derived), Rahim Al-Hamzawi [ctb], Keming Yu [ctb], Dirk Van den Poel [ctb] GPL (>= 2) 2026-09-08 application/tgz https://CRAN.R-project.org/package=bbqr doi:10.32614/CRAN.package.bbqr