gmvjoint: Joint Models of Survival and Multivariate Longitudinal Data

Fit joint models of survival and multivariate longitudinal data. The longitudinal data is specified by generalised linear mixed models. The joint models are fit via maximum likelihood using an approximate expectation maximisation algorithm. Bernhardt (2015) <doi:10.1016/j.csda.2014.11.011>.

Version: 0.4.0
Depends: R (≥ 3.6.0), glmmTMB, survival
Imports: Rcpp (≥ 1.0.6), MASS, methods, mvtnorm, pracma, stats, statmod, xtable
LinkingTo: Rcpp, RcppArmadillo
Published: 2023-12-21
Author: James Murray [aut, cre]
Maintainer: James Murray <j.murray7 at ncl.ac.uk>
BugReports: https://github.com/jamesmurray7/gmvjoint/issues
License: GPL-3
URL: https://github.com/jamesmurray7/gmvjoint
NeedsCompilation: yes
Citation: gmvjoint citation info
Materials: README NEWS
CRAN checks: gmvjoint results

Documentation:

Reference manual: gmvjoint.pdf

Downloads:

Package source: gmvjoint_0.4.0.tar.gz
Windows binaries: r-devel: gmvjoint_0.4.0.zip, r-release: gmvjoint_0.4.0.zip, r-oldrel: gmvjoint_0.4.0.zip
macOS binaries: r-release (arm64): gmvjoint_0.4.0.tgz, r-oldrel (arm64): gmvjoint_0.4.0.tgz, r-release (x86_64): gmvjoint_0.4.0.tgz
Old sources: gmvjoint archive

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