bayesQRsurvey: 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) <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 (may not be active yet) |
| 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 + file LICENSE |
| URL: |
https://github.com/torodriguezt/bayesQRsurvey |
| NeedsCompilation: |
yes |
| SystemRequirements: |
BLAS, LAPACK |
| CRAN checks: |
bayesQRsurvey results |
Documentation:
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