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DESCRIPTION
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DESCRIPTION
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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 = "[email protected]",
role = c("cre", "aut"),
comment = c(ORCID = "0000-0002-4989-0054")),
person("Pete", "Philipson", email = "[email protected]",
role = "aut",
comment = c(ORCID = "0000-0001-7846-0208")),
person("Andrea", "Jorgensen", email = "[email protected]",
role = "ctb",
comment = c(ORCID = "0000-0002-6977-9337")),
person("Ruwanthi", "Kolamunnage-Dona", email = "[email protected]",
role = "aut",
comment = c(ORCID = "0000-0003-3886-6208")),
person("Paula", "Williamson", email = "[email protected]",
role = "ctb",
comment = c(ORCID = "0000-0001-9802-6636")),
person("Dimitris", "Rizopoulos", email = "[email protected]",
role = c("ctb", "dtc"),
comment = "data/renal.rda, R/hessian.R, R/vcov.R"),
person("Alessandro", "Gasparini", email = "[email protected]",
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