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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "bayesQRsurvey" in publications use:'
type: software
license: MIT
title: 'bayesQRsurvey: Bayesian Quantile Regression Models for Complex Survey Data
  Analysis'
version: 0.2.2
doi: 10.32614/CRAN.package.bayesQRsurvey
abstract: 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) <https://doi.org/10.1093/jssam/smae015> and
  Nascimento and Gonçalves (2025, in press) <https://academic.oup.com/jssam>.
authors:
- family-names: Rodríguez Taborda
  given-names: Tomás
  email: torodriguezt@unal.edu.co
- family-names: Cardona Jiménez
  given-names: Johnatan
  email: jcardonj@unal.edu.co
- family-names: Nascimento
  given-names: Marcus L.
  email: marcus.lavagnole@fgv.br
- family-names: Mota Gonçalves
  given-names: Kelly Cristina
  email: kelly@dme.ufrj.br
repository: https://torodriguezt.r-universe.dev
repository-code: https://github.com/torodriguezt/bayesQRsurvey
commit: 56ebab169f4baf953f81654b1c1318f10502b108
url: https://github.com/torodriguezt/bayesQRsurvey
date-released: '2026-06-08'
contact:
- family-names: Rodríguez Taborda
  given-names: Tomás
  email: torodriguezt@unal.edu.co