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BeQut

BeQut is a R-package for Bayesian estimation of quantile regression mixed models. Based on the asymmetric Laplace distribution, it also allows to estimate joint models for longitudinal and time-to-event data, linear mixed effects models and simple linear models.

Yang, M., Luo, S., & DeSantis, S. (2019). Bayesian quantile regression joint models: Inference and dynamic predictions. Statistical Methods in Medical Research, 28(8), 2524–2537. https://doi.org/10.1177/0962280218784757

To try the current development version from github, use:

if (!requireNamespace("devtools", quietly = TRUE)) {
    install.packages("devtools")}
devtools::install_github("AntoineBbi/BeQut")

Warning: BeQut package requires JAGS software (http://mcmc-jags.sourceforge.net/).

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Version

Install

install.packages('BeQut')

Monthly Downloads

264

Version

0.1.0

License

GPL (>= 2.0)

Maintainer

Antoine Barbieri

Last Published

November 9th, 2023

Functions in BeQut (0.1.0)

wave

Data of wave
dataLong

dataLong
BeQut-package

BeQut: Bayesian Estimation for Quantile Regression Mixed Models
deviance

deviance returns the deviance based on the conditional likelihood associated with the survival part.
qrjm

qrjm fits quantile regression joint model
lqm

lqm fits linear quantile regression model
lqmm

lqmm fits linear quantile mixed model