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:

Reference manual:

bayesQRsurvey.html , bayesQRsurvey.pdf

Downloads:

Package source:	bayesQRsurvey_0.1.4.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): bayesQRsurvey_0.1.4.tgz, r-oldrel (arm64): bayesQRsurvey_0.1.4.tgz, r-release (x86_64): bayesQRsurvey_0.1.4.tgz, r-oldrel (x86_64): bayesQRsurvey_0.1.4.tgz

Linking:

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