Bayesian Quantile Regression Models for Complex Survey Data Analysis R package bayesQRsurvey version 0.3.0 Provides Bayesian quantile regression models for complex survey data under informative sampling using survey-weighted estimators. Both single- and multiple-output models are supported. To accelerate computation, all algorithms are implemented in 'C++' using 'Rcpp', 'RcppArmadillo', and 'RcppEigen', and are called from 'R'. See Nascimento and Gonçalves (2024) <doi:10.1093/jssam/smae015> and Nascimento and Gonçalves (2025, in press). Software Depends: R (>= 3.5.0) Imports: Rcpp, stats, graphics, methods, pracma, ggplot2, rlang, posterior LinkingTo: Rcpp, RcppArmadillo, RcppEigen Suggests: MASS, knitr, rmarkdown, grDevices, testthat (>= 3.0.0) Tomás Rodríguez Taborda <torodriguezt@unal.edu.co> Comprehensive R Archive Network (CRAN) Tomás Rodríguez Taborda [aut, cre], Johnatan Cardona Jiménez [aut], Marcus L. Nascimento [aut], Kelly Cristina Mota Gonçalves [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=bayesQRsurvey/LICENSE) 2026-07-08 application/tgz https://CRAN.R-project.org/package=bayesQRsurvey doi:10.32614/CRAN.package.bayesQRsurvey