Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes R package joineRML version 0.4.8 CRAN Task View: Survival (https://CRAN.R-project.org/view=Survival) Fits the joint model proposed by Henderson and colleagues (2000) <doi:10.1093/biostatistics/1.4.465>, but extended to the case of multiple continuous longitudinal measures. The time-to-event data is modelled using a Cox proportional hazards regression model with time-varying covariates. The multiple longitudinal outcomes are modelled using a multivariate version of the Laird and Ware linear mixed model. The association is captured by a multivariate latent Gaussian process. The model is estimated using a Monte Carlo Expectation Maximization algorithm. This project was funded by the Medical Research Council (Grant number MR/M013227/1). Software Depends: R (>= 4.1.0), nlme, survival Imports: cobs, doParallel, foreach, generics, ggplot2, graphics, lme4 (>= 1.1-8), MASS, Matrix, mvtnorm, parallel, randtoolbox, Rcpp (>= 0.12.7), RcppArmadillo, stats, tibble, utils LinkingTo: Rcpp, RcppArmadillo Suggests: dplyr, JM, joineR, knitr, pkgdown, rmarkdown, testthat (>= 3.0.0) Graeme L. Hickey <graemeleehickey@gmail.com> Comprehensive R Archive Network (CRAN) Graeme L. Hickey [cre, aut] (ORCID: <https://orcid.org/0000-0002-4989-0054>), Pete Philipson [aut] (ORCID: <https://orcid.org/0000-0001-7846-0208>), Andrea Jorgensen [ctb] (ORCID: <https://orcid.org/0000-0002-6977-9337>), Ruwanthi Kolamunnage-Dona [aut] (ORCID: <https://orcid.org/0000-0003-3886-6208>), Paula Williamson [ctb] (ORCID: <https://orcid.org/0000-0001-9802-6636>), Dimitris Rizopoulos [ctb, dtc] (data/renal.rda, R/hessian.R, R/vcov.R), Alessandro Gasparini [aut] (ORCID: <https://orcid.org/0000-0002-8319-7624>), Medical Research Council [fnd] (Grant number: MR/M013227/1) GPL-3 file LICENSE (https://CRAN.R-project.org/package=joineRML/LICENSE) 2026-06-14 application/tgz https://CRAN.R-project.org/package=joineRML doi:10.32614/CRAN.package.joineRML