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: 0.4.7 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), RcppArmadillo, stats, tibble, utils LinkingTo: Rcpp, RcppArmadillo Suggests: bindrcpp, dplyr, JM, joineR, knitr, rmarkdown, testthat Published: 2025-02-04 DOI: 10.32614/CRAN.package.joineRML Author: Graeme L. Hickey [cre, aut], Pete Philipson [aut], Andrea Jorgensen [ctb], Ruwanthi Kolamunnage-Dona [aut], Paula Williamson [ctb], Dimitris Rizopoulos [ctb, dtc] (data/renal.rda, R/hessian.R, R/vcov.R), Alessandro Gasparini [aut], Medical Research Council [fnd] (Grant number: MR/M013227/1) Maintainer: Graeme L. Hickey <graemeleehickey at gmail.com> BugReports: https://github.com/graemeleehickey/joineRML/issues License: GPL-3 | file LICENSE URL: https://github.com/graemeleehickey/joineRML NeedsCompilation: yes Citation: joineRML citation info Materials: README NEWS In views: Survival CRAN checks: joineRML results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=joineRML to link to this page.
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