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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>).
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Package details |
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| Author | Antoine Barbieri [aut, cre], Hélène Jacqmin-Gadda [aut] |
| Maintainer | Antoine Barbieri <antoine.barbieri@u-bordeaux.fr> |
| License | GPL (>= 2.0) |
| Version | 0.1.0 |
| Package repository | View on CRAN |
| Installation |
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