joineRML: Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes (original) (raw)
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 |
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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 |
BugReports: | https://github.com/graemeleehickey/joineRML/issues |
License: | GPL-3 | file |
URL: | https://github.com/graemeleehickey/joineRML |
NeedsCompilation: | yes |
Citation: | joineRML citation info |
Materials: | README, NEWS |
In views: | Survival |
CRAN checks: | joineRML results |
Documentation:
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