Package: joineRML Type: Package Title: Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes Version: 0.4.8 Authors@R: c( person("Graeme L.", "Hickey", email = "graemeleehickey@gmail.com", role = c("cre", "aut"), comment = c(ORCID = "0000-0002-4989-0054")), person("Pete", "Philipson", email = "peter.philipson1@newcastle.ac.uk", role = "aut", comment = c(ORCID = "0000-0001-7846-0208")), person("Andrea", "Jorgensen", email = "aljorgen@liverpool.ac.uk", role = "ctb", comment = c(ORCID = "0000-0002-6977-9337")), person("Ruwanthi", "Kolamunnage-Dona", email = "kdrr@liverpool.ac.uk", role = "aut", comment = c(ORCID = "0000-0003-3886-6208")), person("Paula", "Williamson", email = "p.r.williamson@liverpool.ac.uk", role = "ctb", comment = c(ORCID = "0000-0001-9802-6636")), person("Dimitris", "Rizopoulos", email = "d.rizopoulos@erasmusmc.nl", role = c("ctb", "dtc"), comment = "data/renal.rda, R/hessian.R, R/vcov.R"), person("Alessandro", "Gasparini", email = "alessandro.gasparini@ki.se", role = "aut", comment = c(ORCID = "0000-0002-8319-7624")), person("Medical Research Council", role = "fnd", comment = "Grant number: MR/M013227/1") ) Encoding: UTF-8 Description: Fits the joint model proposed by Henderson and colleagues (2000) , 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). License: GPL-3 | file LICENSE URL: https://graemeleehickey.github.io/joineRML/, https://github.com/graemeleehickey/joineRML, https://CRAN.R-project.org/package=joineRML BugReports: https://github.com/graemeleehickey/joineRML/issues LazyData: true 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 RoxygenNote: 7.3.3 Suggests: dplyr, JM, joineR, knitr, pkgdown, rmarkdown, testthat (>= 3.0.0) VignetteBuilder: knitr Config/testthat/edition: 3 Config/pak/sysreqs: cmake make Repository: https://graemeleehickey.r-universe.dev Date/Publication: 2026-06-13 20:03:39 UTC RemoteUrl: https://github.com/graemeleehickey/joinerml RemoteRef: HEAD RemoteSha: 451eadcc56441fea0d9242c78dac12a11ca49184 NeedsCompilation: yes Packaged: 2026-06-13 21:16:29 UTC; root Author: Graeme L. Hickey [cre, aut] (ORCID: ), Pete Philipson [aut] (ORCID: ), Andrea Jorgensen [ctb] (ORCID: ), Ruwanthi Kolamunnage-Dona [aut] (ORCID: ), Paula Williamson [ctb] (ORCID: ), Dimitris Rizopoulos [ctb, dtc] (data/renal.rda, R/hessian.R, R/vcov.R), Alessandro Gasparini [aut] (ORCID: ), Medical Research Council [fnd] (Grant number: MR/M013227/1) Maintainer: Graeme L. Hickey