BeQut-package: BeQut: Bayesian Estimation for Quantile Regression Mixed...

In BeQut: Bayesian Estimation for Quantile Regression Mixed Models

BeQut: Bayesian Estimation for Quantile Regression Mixed Models

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 sample (Yang, Luo, DeSantis (2019) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1177/0962280218784757")}).

Author(s)

Maintainer: Antoine Barbieri [e-mail]

Authors:

• Hélène Jacqmin-Gadda [e-mail]

BeQut documentation built on Nov. 9, 2023, 5:08 p.m.