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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>.

Versions across snapshots

VersionRepositoryFileSize
0.2.2 rolling linux/jammy R-4.5 bayesQRsurvey_0.2.2.tar.gz 360.0 KiB
0.2.2 rolling linux/noble R-4.5 bayesQRsurvey_0.2.2.tar.gz 367.4 KiB
0.2.2 rolling source/ R- bayesQRsurvey_0.2.2.tar.gz 81.8 KiB
0.2.2 latest linux/jammy R-4.5 bayesQRsurvey_0.2.2.tar.gz 360.0 KiB
0.2.2 latest linux/noble R-4.5 bayesQRsurvey_0.2.2.tar.gz 367.4 KiB
0.2.2 latest source/ R- bayesQRsurvey_0.2.2.tar.gz 81.8 KiB
0.2.2 2026-04-26 source/ R- bayesQRsurvey_0.2.2.tar.gz 81.8 KiB
0.2.2 2026-04-23 source/ R- bayesQRsurvey_0.2.2.tar.gz 81.8 KiB
0.2.2 2026-04-09 windows/windows R-4.5 bayesQRsurvey_0.2.2.zip 683.3 KiB

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