Package: joineRML
Type: Package
Title: Joint Modelling of Multivariate Longitudinal Data and
        Time-to-Event Outcomes
Version: 0.1.0
Authors@R: c(
    person("Graeme L.", "Hickey", email = "graeme.hickey@liverpool.ac.uk", 
        role = c("cre", "aut")),
    person("Pete", "Philipson", email = "pete.philipson@northumbria.ac.uk", 
        role = "aut"),
    person("Andrea", "Jorgensen", email = "aljorgen@liverpool.ac.uk", 
        role = "aut"),
    person("Ruwanthi", "Kolamunnage-Dona", email = "kdrr@liverpool.ac.uk", 
        role = "aut"),
    person("Paula", "Williamson", email = "p.r.williamson@liverpool.ac.uk",
        role = "ctb")
    )
Maintainer: Graeme L. Hickey <graeme.hickey@liverpool.ac.uk>
Date: 2016-12-23
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 is funded by the Medical Research Council 
    (Grant number MR/M013227/1).
License: GPL-2 | file LICENSE
URL: https://github.com/graemeleehickey/joineRML/
BugReports: https://github.com/graemeleehickey/joineRML/issues
LazyData: true
Depends: R (>= 3.1)
Imports: graphics, MASS, Matrix, nlme, Rcpp (>= 0.12.7), stats,
        survival, utils
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 5.0.1
Suggests: joineR, knitr, rmarkdown, R.rsp
VignetteBuilder: knitr, R.rsp
NeedsCompilation: yes
Packaged: 2016-12-27 00:07:22 UTC; graemeleehickey
Author: Graeme L. Hickey [cre, aut],
  Pete Philipson [aut],
  Andrea Jorgensen [aut],
  Ruwanthi Kolamunnage-Dona [aut],
  Paula Williamson [ctb]
Repository: CRAN
Date/Publication: 2016-12-27 13:36:19
