Fits the joint model proposed by Henderson and colleagues (2000) <doi:10.1093/biostatistics/1.4.465>, but extended to the case of multiple continuous longitudinal measures. The time-to-event data is modelled using a Cox proportional hazards regression model with time-varying covariates. The multiple longitudinal outcomes are modelled using a multivariate version of the Laird and Ware linear mixed model. The association is captured by a multivariate latent Gaussian process. The model is estimated using a Monte Carlo Expectation Maximization algorithm. This project is funded by the Medical Research Council (Grant number MR/M013227/1).
| Version: | 0.3.0 |
| Depends: | R (≥ 3.3.0), nlme, survival |
| Imports: | ggplot2, graphics, lme4 (≥ 1.1-8), MASS, Matrix, mvtnorm, Rcpp (≥ 0.12.7), stats, utils |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | JM, joineR, knitr, rmarkdown, testthat |
| Published: | 2017-07-23 |
| Author: | Graeme L. Hickey [cre, aut], Pete Philipson [aut], Andrea Jorgensen [aut], Ruwanthi Kolamunnage-Dona [aut], Paula Williamson [ctb], Dimitris Rizopoulos [ctb, dtc] (data/renal.rda, R/hessian.R, R/vcov.R) |
| Maintainer: | Graeme L. Hickey <graeme.hickey at liverpool.ac.uk> |
| BugReports: | https://github.com/graemeleehickey/joineRML/issues |
| License: | GPL-3 | file LICENSE |
| URL: | https://github.com/graemeleehickey/joineRML/ |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | joineRML results |
| Reference manual: | joineRML.pdf |
| Vignettes: |
joineRML Technical details of joineRML |
| Package source: | joineRML_0.3.0.tar.gz |
| Windows binaries: | r-devel: joineRML_0.3.0.zip, r-release: joineRML_0.3.0.zip, r-oldrel: joineRML_0.3.0.zip |
| OS X El Capitan binaries: | r-release: joineRML_0.3.0.tgz |
| OS X Mavericks binaries: | r-oldrel: joineRML_0.3.0.tgz |
| Old sources: | joineRML archive |
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