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 sample (Yang, Luo, DeSantis (2019) tools:::Rd_expr_doi("10.1177/0962280218784757") ). package
Maintainer : Antoine Barbieri antoine.barbieri@u-bordeaux.fr
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