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
Browse package contents
Package details |
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| Maintainer | Antoine Barbieri <antoine.barbieri@u-bordeaux.fr> |
| License | GPL (>= 2) |
| Version | 0.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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