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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 |
| Reference manual: | gmvjoint.pdf |
| 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, r-oldrel (x86_64): gmvjoint_0.4.0.tgz |
| Old sources: | gmvjoint archive |
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