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: 2026-07-10 07:15:01 UTC; root
Author: Antoine Barbieri [aut, cre], Hélène Jacqmin-Gadda [aut]
Config/pak/sysreqs: jags
Repository: https://cran.r-universe.dev
Date/Publication: 2023-11-09 11:30:32 UTC
RemoteUrl: https://github.com/cran/BeQut
RemoteRef: HEAD
RemoteSha: 6248e03603bafe648f5e342381abdde4fb5f0f23