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 |
| DOI: |
10.32614/CRAN.package.BeQut |
| 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:
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