Package: bbqr Type: Package Title: Bayesian Quantile Regression with Lasso and Adaptive Lasso Version: 0.1.0.9000 Authors@R: c( person("Fernando", "Rubio Garcia", email = "j332v755@wichita.edu", role = c("aut", "cre"), comment = "Wichita State University"), person("Dries F.", "Benoit", role = c("ctb", "cph"), comment = "Author of 'bayesQR', from which the Fortran RNG wrapper and package layout are derived"), person("Rahim", "Al-Hamzawi", role = "ctb"), person("Keming", "Yu", role = "ctb"), person("Dirk", "Van den Poel", role = "ctb")) Description: 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) . 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) ; the Bayesian lasso, following Benoit, Al-Hamzawi and Yu (2013) ; and the Bayesian adaptive lasso of Rubio Garcia (2023) . 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) . 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. License: GPL (>= 2) Copyright: See inst/COPYRIGHTS for the attribution of third-party components inherited from the 'bayesQR' package. Encoding: UTF-8 Depends: R (>= 4.2) Imports: graphics, stats, utils Suggests: testthat (>= 3.0.0), knitr, rmarkdown, quantreg Config/testthat/edition: 3 VignetteBuilder: knitr NeedsCompilation: yes Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.3 URL: https://github.com/fernandorubiogarcia/bbqr BugReports: https://github.com/fernandorubiogarcia/bbqr/issues Repository: https://fernandorubiogarcia.r-universe.dev Date/Publication: 2026-09-15 16:41:28 UTC RemoteUrl: https://github.com/fernandorubiogarcia/bbqr RemoteRef: HEAD RemoteSha: 41bb0f86318157a335be1ff1e8a2bdbca6b41b24 Packaged: 2026-10-15 11:18:49 UTC; root Author: 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] Maintainer: Fernando Rubio Garcia