Package: joineR
Type: Package
Title: Joint Modelling of Repeated Measurements and Time-to-Event Data
Version: 1.2.9
Authors@R: c(
    person("Pete", "Philipson", email = "peter.philipson1@newcastle.ac.uk", 
        role = "aut",
        comment = c(ORCID = "0000-0001-7846-0208")),
    person("Ines", "Sousa", email = "isousa@mct.uminho.pt",
        role = "aut",
        comment = c(ORCID = "0000-0002-2712-1713")),
    person("Peter J.", "Diggle", email = "p.diggle@lancaster.ac.uk",
        role = "aut",
        comment = c(ORCID = "0000-0003-3521-5020")),
    person("Paula", "Williamson", email = "p.r.williamson@liverpool.ac.uk",
        role = "aut",
        comment = c(ORCID = "0000-0001-9802-6636")),        
    person("Ruwanthi", "Kolamunnage-Dona", email = "kdrr@liverpool.ac.uk", 
        role = "aut",
        comment = c(ORCID = "0000-0003-3886-6208")),
    person("Robin", "Henderson", email = "robin.henderson@ncl.ac.uk",
        role = "aut"),
    person("Graeme L.", "Hickey", email = "graemeleehickey@gmail.com", 
        role = c("aut", "cre"),
        comment = c(ORCID = "0000-0002-4989-0054")),
    person("Maria", "Sudell", email = "m.e.sudell@liverpool.ac.uk",
        role = "ctb"),
    person("Medical Research Council", role = "fnd",
        comment = "Grant numbers: G0400615 and MR/M013227/1")
    )
Encoding: UTF-8
Description: Analysis of repeated measurements and time-to-event data
        via random effects joint models. Fits the joint models proposed
        by Henderson and colleagues <doi:10.1093/biostatistics/1.4.465>
        (single event time) and by Williamson and colleagues (2008)
        <doi:10.1002/sim.3451> (competing risks events time) to a
        single continuous repeated measure. The time-to-event data is
        modelled using a (cause-specific) Cox proportional hazards
        regression model with time-varying covariates. The longitudinal
        outcome is modelled using a linear mixed effects model. The
        association is captured by a latent Gaussian process. The model
        is estimated using an Expectation Maximization algorithm. Some
        plotting functions and the variogram are also included. This
        project is funded by the Medical Research Council (Grant
        numbers G0400615 and MR/M013227/1).
License: GPL-3 | file LICENSE
URL: https://graemeleehickey.github.io/joineR/,
        https://github.com/graemeleehickey/joineR,
        https://CRAN.R-project.org/package=joineR
BugReports: https://github.com/graemeleehickey/joineR/issues
LazyData: true
ByteCompile: true
Depends: R (>= 3.6)
Imports: generics, graphics, lattice, MASS, nlme, statmod, stats,
        survival, utils
Suggests: knitr, rmarkdown, testthat, covr
Config/testthat/edition: 3
Config/Needs/readme: rmarkdown
Config/Needs/website: pkgdown
VignetteBuilder: knitr
RoxygenNote: 7.3.3
Repository: https://graemeleehickey.r-universe.dev
Date/Publication: 2026-06-28 18:07:19 UTC
RemoteUrl: https://github.com/graemeleehickey/joiner
RemoteRef: HEAD
RemoteSha: 0aefb6811f87e1faf08e26c7ec5e142d875f64b2
NeedsCompilation: no
Packaged: 2026-06-28 18:17:56 UTC; root
Author: Pete Philipson [aut] (ORCID: <https://orcid.org/0000-0001-7846-0208>),
  Ines Sousa [aut] (ORCID: <https://orcid.org/0000-0002-2712-1713>),
  Peter J. Diggle [aut] (ORCID: <https://orcid.org/0000-0003-3521-5020>),
  Paula Williamson [aut] (ORCID: <https://orcid.org/0000-0001-9802-6636>),
  Ruwanthi Kolamunnage-Dona [aut] (ORCID:
    <https://orcid.org/0000-0003-3886-6208>),
  Robin Henderson [aut],
  Graeme L. Hickey [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-4989-0054>),
  Maria Sudell [ctb],
  Medical Research Council [fnd] (Grant numbers: G0400615 and
    MR/M013227/1)
Maintainer: Graeme L. Hickey <graemeleehickey@gmail.com>