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:	0.1.0
Depends:	R (≥ 3.6.0), glmmTMB, survival
Imports:	Rcpp (≥ 1.0.6), Matrix, MASS, methods, mvtnorm, pracma, stats, statmod
LinkingTo:	Rcpp, RcppArmadillo
Published:	2022-12-07
Author:	James Murray [aut, cre]
Maintainer:	James Murray <j.murray7 at ncl.ac.uk>
License:	GPL-3
URL:	https://github.com/jamesmurray7/gmvjoint
NeedsCompilation:	yes
Materials:	README NEWS
CRAN checks:	gmvjoint results

Documentation:

Reference manual:

gmvjoint.pdf

Downloads:

Package source:	gmvjoint_0.1.0.tar.gz
Windows binaries:	r-devel: gmvjoint_0.1.0.zip, r-release: gmvjoint_0.1.0.zip, r-oldrel: gmvjoint_0.1.0.zip
macOS binaries:	r-release (arm64): gmvjoint_0.1.0.tgz, r-oldrel (arm64): gmvjoint_0.1.0.tgz, r-release (x86_64): gmvjoint_0.1.0.tgz, r-oldrel (x86_64): gmvjoint_0.1.0.tgz

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