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
DOI: 10.32614/CRAN.package.gmvjoint
Author: James Murray [aut, cre]
Maintainer: James Murray <j.murray7 at>
License: GPL-3
NeedsCompilation: yes
Citation: gmvjoint citation info
Materials: README NEWS
CRAN checks: gmvjoint results


Reference manual: gmvjoint.pdf


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


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