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 was funded by the Medical Research Council (Grant number MR/M013227/1).
| Version: | 0.4.7 |
| Depends: | R (≥ 3.6.0),nlme,survival |
| Imports: | cobs,doParallel,foreach,generics,ggplot2, graphics,lme4 (≥ 1.1-8),MASS,Matrix,mvtnorm, parallel,randtoolbox,Rcpp (≥ 0.12.7),RcppArmadillo, stats,tibble, utils |
| LinkingTo: | Rcpp,RcppArmadillo |
| Suggests: | bindrcpp,dplyr,JM,joineR,knitr,rmarkdown,testthat |
| Published: | 2025-02-04 |
| DOI: | 10.32614/CRAN.package.joineRML |
| Author: | Graeme L. Hickey |
| Maintainer: | Graeme L. Hickey <graemeleehickey at gmail.com> |
| BugReports: | https://github.com/graemeleehickey/joineRML/issues |
| License: | GPL-3 | fileLICENSE |
| URL: | https://github.com/graemeleehickey/joineRML |
| NeedsCompilation: | yes |
| Citation: | joineRML citation info |
| Materials: | README,NEWS |
| In views: | Survival |
| CRAN checks: | joineRML results |
| Reference manual: | joineRML.html ,joineRML.pdf |
| Vignettes: | joineRML and the broom package (source,R code) joineRML (source,R code) Technical details of joineRML (source) |
| Package source: | joineRML_0.4.7.tar.gz |
| Windows binaries: | r-devel:joineRML_0.4.7.zip, r-release:joineRML_0.4.7.zip, r-oldrel:joineRML_0.4.7.zip |
| macOS binaries: | r-release (arm64):joineRML_0.4.7.tgz, r-oldrel (arm64):joineRML_0.4.7.tgz, r-release (x86_64):joineRML_0.4.7.tgz, r-oldrel (x86_64):joineRML_0.4.7.tgz |
| Old sources: | joineRML archive |
| Reverse imports: | JMbdirect,jmBIG |
| Reverse suggests: | BCClong,broom |
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