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: | 0.1.0 |
Depends: | R (≥ 3.1) |
Imports: | graphics, MASS, Matrix, nlme, Rcpp (≥ 0.12.7), stats, survival, utils |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | joineR, knitr, rmarkdown, R.rsp |
Published: | 2016-12-27 |
Author: | Graeme L. Hickey [cre, aut], Pete Philipson [aut], Andrea Jorgensen [aut], Ruwanthi Kolamunnage-Dona [aut], Paula Williamson [ctb] |
Maintainer: | Graeme L. Hickey <graeme.hickey at liverpool.ac.uk> |
BugReports: | https://github.com/graemeleehickey/joineRML/issues |
License: | GPL-2 | 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_0.1.0.tar.gz |
Windows binaries: | r-devel: joineRML_0.1.0.zip, r-release: joineRML_0.1.0.zip, r-oldrel: not available |
OS X Mavericks binaries: | r-release: joineRML_0.1.0.tgz, r-oldrel: not available |
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