Package: bayesQRsurvey Title: Bayesian Quantile Regression Models for Complex Survey Data Analysis Version: 0.2.2 Authors@R: c( person("Tomás", "Rodríguez Taborda", email = "torodriguezt@unal.edu.co", role = c("aut", "cre")), person("Johnatan", "Cardona Jiménez", email = "jcardonj@unal.edu.co", role = "aut"), person("Marcus L.", "Nascimento", email = "marcus.lavagnole@fgv.br", role = "aut"), person("Kelly Cristina", "Mota Gonçalves", email = "kelly@dme.ufrj.br", role = "aut") ) Description: 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) and Nascimento and Gonçalves (2025, in press) . License: MIT + file LICENSE LazyData: true LazyDataCompression: gzip Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.3 LinkingTo: Rcpp, RcppArmadillo, RcppEigen Imports: Rcpp, stats, graphics, methods, pracma, ggplot2, rlang, posterior Suggests: MASS, knitr, rmarkdown, grDevices, testthat (>= 3.0.0) Config/testthat/edition: 3 SystemRequirements: BLAS, LAPACK URL: https://github.com/torodriguezt/bayesQRsurvey BugReports: https://github.com/torodriguezt/bayesQRsurvey/issues Repository: https://torodriguezt.r-universe.dev Date/Publication: 2026-07-03 18:56:25 UTC RemoteUrl: https://github.com/torodriguezt/bayesqrsurvey RemoteRef: HEAD RemoteSha: ee244a22b8df12c251e2100595b17b0ce0a0fd0d NeedsCompilation: yes Packaged: 2026-07-03 19:19:08 UTC; root Author: Tomás Rodríguez Taborda [aut, cre], Johnatan Cardona Jiménez [aut], Marcus L. Nascimento [aut], Kelly Cristina Mota Gonçalves [aut] Maintainer: Tomás Rodríguez Taborda Depends: R (>= 3.5.0)