Package: joineRML
Type: Package
Title: Joint Modelling of Multivariate Longitudinal Data and
        Time-to-Event Outcomes
Version: 0.4.6
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) 
    <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).
License: GPL-3 | file LICENSE
URL: https://github.com/graemeleehickey/joineRML
BugReports: https://github.com/graemeleehickey/joineRML/issues
LazyData: true
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
RoxygenNote: 7.1.1
Suggests: bindrcpp, dplyr, JM, joineR, knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-01-20 04:08:32 UTC; hickey
Author: Graeme L. Hickey [cre, aut] (<https://orcid.org/0000-0002-4989-0054>),
  Pete Philipson [aut] (<https://orcid.org/0000-0001-7846-0208>),
  Andrea Jorgensen [ctb] (<https://orcid.org/0000-0002-6977-9337>),
  Ruwanthi Kolamunnage-Dona [aut]
    (<https://orcid.org/0000-0003-3886-6208>),
  Paula Williamson [ctb] (<https://orcid.org/0000-0001-9802-6636>),
  Dimitris Rizopoulos [ctb, dtc] (data/renal.rda, R/hessian.R, R/vcov.R),
  Alessandro Gasparini [aut] (<https://orcid.org/0000-0002-8319-7624>),
  Medical Research Council [fnd] (Grant number: MR/M013227/1)
Maintainer: Graeme L. Hickey <graemeleehickey@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-20 04:50:02 UTC
Built: R 4.3.1; x86_64-conda-linux-gnu; 2023-11-05 22:52:27 UTC; unix
