BeQut: Bayesian Estimation for Quantile Regression Mixed Models

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>).

Version: 0.1.0
Depends: R (≥ 3.5.0), survival
Imports: jagsUI, lqmm, MASS
Published: 2023-11-09
Author: Antoine Barbieri [aut, cre], Hélène Jacqmin-Gadda [aut]
Maintainer: Antoine Barbieri <antoine.barbieri at u-bordeaux.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
NeedsCompilation: no
SystemRequirements: JAGS 4.x.y
Materials: README NEWS
CRAN checks: BeQut results

Documentation:

Reference manual: BeQut.pdf

Downloads:

Package source: BeQut_0.1.0.tar.gz
Windows binaries: r-devel: BeQut_0.1.0.zip, r-release: BeQut_0.1.0.zip, r-oldrel: BeQut_0.1.0.zip
macOS binaries: r-release (arm64): BeQut_0.1.0.tgz, r-oldrel (arm64): BeQut_0.1.0.tgz, r-release (x86_64): BeQut_0.1.0.tgz

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