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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>.
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Package details |
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| Author | Tomás Rodríguez Taborda [aut, cre], Johnatan Cardona Jiménez [aut], Marcus L. Nascimento [aut], Kelly Cristina Mota Gonçalves [aut] |
| Maintainer | Tomás Rodríguez Taborda <torodriguezt@unal.edu.co> |
| License | MIT + file LICENSE |
| Version | 0.2.2 |
| URL | https://github.com/torodriguezt/bayesQRsurvey |
| Package repository | View on CRAN |
| Installation |
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