joineRML: Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes

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).

Version: 0.4.6
Depends: R (≥ 3.6.0), nlme, survival
Imports: cobs, doParallel, foreach, generics, ggplot2, graphics, lme4 (≥ 1.1-8), MASS, Matrix, mvtnorm, parallel, randtoolbox, Rcpp (≥ 0.12.7), stats, tibble, utils
LinkingTo: Rcpp, RcppArmadillo
Suggests: bindrcpp, dplyr, JM, joineR, knitr, rmarkdown, testthat
Published: 2023-01-20
DOI: 10.32614/CRAN.package.joineRML
Author: Graeme L. Hickey ORCID iD [cre, aut], Pete Philipson ORCID iD [aut], Andrea Jorgensen ORCID iD [ctb], Ruwanthi Kolamunnage-Dona ORCID iD [aut], Paula Williamson ORCID iD [ctb], Dimitris Rizopoulos [ctb, dtc] (data/renal.rda, R/hessian.R, R/vcov.R), Alessandro Gasparini ORCID iD [aut], Medical Research Council [fnd] (Grant number: MR/M013227/1)
Maintainer: Graeme L. Hickey <graemeleehickey at>
License: GPL-3 | file LICENSE
NeedsCompilation: yes
Citation: joineRML citation info
Materials: README NEWS
In views: Survival
CRAN checks: joineRML results


Reference manual: joineRML.pdf
Vignettes: joineRML and the broom package
Technical details of joineRML


Package source: joineRML_0.4.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): joineRML_0.4.6.tgz, r-oldrel (arm64): joineRML_0.4.6.tgz, r-release (x86_64): joineRML_0.4.6.tgz, r-oldrel (x86_64): joineRML_0.4.6.tgz
Old sources: joineRML archive

Reverse dependencies:

Reverse imports: jmBIG
Reverse suggests: BCClong, broom


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