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: |
0.4.5 |
| Depends: |
R (≥ 3.6.0), glmmTMB, survival |
| Imports: |
Rcpp (≥ 1.0.6), MASS, methods, mvtnorm, pracma, reformulas, stats, statmod, xtable |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Published: |
2024-10-05 |
| DOI: |
10.32614/CRAN.package.gmvjoint |
| Author: |
James Murray [aut, cre] |
| Maintainer: |
James Murray <james.murray at lshtm.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:
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