Bayesian Quantile Regression Models for Complex Survey Data Analysis
bayesQRsurvey: Bayesian Weighted Quantile Regression for complex surve...
Bayesian quantile regression for complex survey data
Multiple-Output Bayesian quantile regression for complex survey data
Plot Method for Bayesian Weighted Quantile Regression
Print methods for bayesQRsurvey model objects
Create prior for Bayesian quantile regression models for complex surve...
Summary methods for bayesQRsurvey
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) <https://academic.oup.com/jssam>.
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