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 |
| Reference manual: | gmvjoint.html , gmvjoint.pdf |
| Package source: | gmvjoint_0.4.5.tar.gz |
| Windows binaries: | r-devel: gmvjoint_0.4.5.zip, r-release: gmvjoint_0.4.5.zip, r-oldrel: gmvjoint_0.4.5.zip |
| macOS binaries: | r-release (arm64): gmvjoint_0.4.5.tgz, r-oldrel (arm64): gmvjoint_0.4.5.tgz, r-release (x86_64): gmvjoint_0.4.5.tgz, r-oldrel (x86_64): gmvjoint_0.4.5.tgz |
| Old sources: | gmvjoint archive |
Please use the canonical form https://CRAN.R-project.org/package=gmvjoint to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.