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README.md
In BeQut: Bayesian Estimation for Quantile Regression Mixed Models
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:
{r}
if (!requireNamespace("devtools", quietly = TRUE)) {
install.packages("devtools")}
devtools::install_github("AntoineBbi/BeQut")
Warning: BeQut package requires JAGS software (http://mcmc-jags.sourceforge.net/).
Try the BeQut package in your browser
Any scripts or data that you put into this service are public.
BeQut documentation built on Nov. 9, 2023, 5:08 p.m.
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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:
{r}
if (!requireNamespace("devtools", quietly = TRUE)) {
install.packages("devtools")}
devtools::install_github("AntoineBbi/BeQut")
Warning: BeQut package requires JAGS software (http://mcmc-jags.sourceforge.net/).
Try the BeQut package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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