AntoineBbi/BQt: BQt: Bayesian Quantile regression for joint modeling

BQt package fits quantile regression joint model for time-to-event and longitudinal data. Bayesian approach using JAGS and based on asymmetric Laplace distribution is used to estimate each quantile regression model. Large quantile regression models can be estimated such as linear quantile model, linear quantile mixed models, (multivariate) quantile regression joint model.

Getting started

Package details

MaintainerAntoine Barbieri <[email protected]>
LicenseGPL (>= 2)
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("AntoineBbi/BQt")
AntoineBbi/BQt documentation built on Dec. 5, 2019, 8:50 a.m.