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joineRML: Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes

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: 0.4.6
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
Suggests: bindrcpp, dplyr, JM, joineR, knitr, rmarkdown, testthat
Published: 2023-01-20
Author: Graeme L. Hickey ORCID iD [cre, aut], Pete Philipson ORCID iD [aut], Andrea Jorgensen ORCID iD [ctb], Ruwanthi Kolamunnage-Dona ORCID iD [aut], Paula Williamson ORCID iD [ctb], Dimitris Rizopoulos [ctb, dtc] (data/renal.rda, R/hessian.R, R/vcov.R), Alessandro Gasparini ORCID iD [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:

Reference manual: joineRML.pdf
Vignettes: joineRML and the broom package
joineRML
Technical details of joineRML

Downloads:

Package source: joineRML_0.4.6.tar.gz
Windows binaries: r-devel: joineRML_0.4.6.zip, r-release: joineRML_0.4.6.zip, r-oldrel: joineRML_0.4.6.zip
macOS binaries: r-release (arm64): joineRML_0.4.6.tgz, r-oldrel (arm64): joineRML_0.4.6.tgz, r-release (x86_64): joineRML_0.4.6.tgz, r-oldrel (x86_64): joineRML_0.4.6.tgz
Old sources: joineRML archive

Reverse dependencies:

Reverse imports: jmBIG
Reverse suggests: BCClong, broom

Linking:

Please use the canonical form https://CRAN.R-project.org/package=joineRML to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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