Extended Joint Models for Longitudinal and Time-to-Event Data R package JMbayes2 version 0.6-0 Fit joint models for longitudinal and time-to-event data under the Bayesian approach. Multiple longitudinal outcomes of mixed type (continuous/categorical) and multiple event times (competing risks and multi-state processes) are accommodated. Rizopoulos (2012, ISBN:9781439872864). Software Depends: survival, nlme, GLMMadaptive, splines Imports: coda, Rcpp, parallel, parallelly, matrixStats, ggplot2, gridExtra, abind, MASS, survC1 LinkingTo: Rcpp, RcppArmadillo Suggests: lattice, knitr, rmarkdown, pkgdown Dimitris Rizopoulos <d.rizopoulos@erasmusmc.nl> Comprehensive R Archive Network (CRAN) Dimitris Rizopoulos [aut, cre] (ORCID: <https://orcid.org/0000-0001-9397-0900>), Pedro Miranda-Afonso [aut] (ORCID: <https://orcid.org/0000-0001-6708-9597>), Grigorios Papageorgiou [aut] GPL (>= 3) 2026-01-28 application/tgz https://CRAN.R-project.org/package=JMbayes2 doi:10.32614/CRAN.package.JMbayes2