bayesQRsurvey: Bayesian Quantile Regression Models for Complex Survey DataAnalysis
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>.
| Version: | 0.1.4 |
| 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) |
| Published: | 2025-10-22 |
| DOI: | 10.32614/CRAN.package.bayesQRsurvey |
| Author: | Tomás Rodríguez Taborda [aut, cre], Johnatan Cardona Jiménez [aut], Marcus L. Nascimento [aut], Kelly Cristina Mota Gonçalves [aut] |
| Maintainer: | Tomás Rodríguez Taborda <torodriguezt at unal.edu.co> |
| BugReports: | https://github.com/torodriguezt/bayesQRsurvey/issues |
| License: | MIT + fileLICENSE |
| URL: | https://github.com/torodriguezt/bayesQRsurvey |
| NeedsCompilation: | yes |
| SystemRequirements: | BLAS, LAPACK |
| CRAN checks: | bayesQRsurvey results |
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