Bayesian Quantile Regression Models for Complex Survey Data Analysis

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 (2026) .


Reference manual

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install.packages("bayesQRsurvey")

0.3.1 by Tomás Rodríguez Taborda, 2 months ago


https://github.com/torodriguezt/bayesQRsurvey


Report a bug at https://github.com/torodriguezt/bayesQRsurvey/issues


Browse source code at https://github.com/cran/bayesQRsurvey


Authors: Tomás Rodríguez Taborda [aut, cre] , Johnatan Cardona Jiménez [aut] , Marcus L. Nascimento [aut] , Kelly Cristina Mota Gonçalves [aut]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports Rcpp, stats, graphics, methods, pracma, ggplot2, rlang, posterior

Suggests MASS, knitr, rmarkdown, grDevices, testthat

Linking to Rcpp, RcppArmadillo, RcppEigen

System requirements: BLAS, LAPACK


See at CRAN