Package: BeQut
Title: Bayesian Estimation for Quantile Regression Mixed Models
Version: 0.1.0
Authors@R: c(person("Antoine", "Barbieri", role = c("aut", "cre"), email = "antoine.barbieri@u-bordeaux.fr"), person("Hélène", "Jacqmin-Gadda", role = c("aut"), email = "helene.jacqmin-gadda@u-bordeaux.fr")) 
Maintainer: Antoine Barbieri <antoine.barbieri@u-bordeaux.fr>
Description: Using a Bayesian estimation procedure, this package fits linear quantile regression models such as linear quantile models, linear quantile mixed models, quantile regression joint models for time-to-event and longitudinal data. The estimation procedure is based on the asymmetric Laplace distribution and the 'JAGS' software is used to get posterior samples (Yang, Luo, DeSantis (2019) <doi:10.1177/0962280218784757>).
Depends: R (>= 3.5.0), survival
Imports: jagsUI, lqmm, MASS
SystemRequirements: JAGS 4.x.y
License: GPL (>= 2.0)
Encoding: UTF-8
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2023-11-09 08:31:52 UTC; abarbieri
Author: Antoine Barbieri [aut, cre],
  Hélène Jacqmin-Gadda [aut]
Repository: CRAN
Date/Publication: 2023-11-09 10:30:06 UTC
Built: R 4.4.0; ; 2024-05-08 09:54:47 UTC; unix
