joineRML swMATH ID: 19419 Software Authors: Graeme L. Hickey, Pete Philipson, Andrea Jorgensen, Ruwanthi Kolamunnage-Dona, Paula Williamson, Dimitris Rizopoulos Description: R package joineRML. Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes. Fits the joint model proposed by Henderson and colleagues (2000) <<a href=”http://dx.doi.org/10.1093/biostatistics/1.4.465”>doi:10.1093/biostatistics/1.4.465</a>>, 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). Homepage: https://cran.r-project.org/web/packages/joineRML/index.html Source Code: https://github.com/cran/joineRML Dependencies: R Keywords: CRAN; R package; Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes Related Software: JM; nlme; joineR; JMbayes; R; frailtypack; merlin; JMfit; JSM; bamlss; coxme; Stata; SAS; lcmm; WinBUGS; Statmod; Rcpp; RcppEigen; PyTorch; NumPy Cited in: 5 Publications all top 5 Cited by 16 Authors 2 Philipson, Pete 1 Crowther, Michael J. 1 Diggle, Peter John 1 Dobson, Angela 1 Henderson, Robin G. 1 Hickey, Graeme L. 1 Kolamunnage-Dona, Ruwanthi 1 Lan, Lan 1 Li, Liang 1 Li, Zhao 1 Sun, Jianguo 1 Tang, Niansheng 1 Wang, Shikun 1 Yi, Fengting 1 Zhao, Jieyi 1 Zheng, W. Jim. Cited in 2 Serials 4 Computational Statistics and Data Analysis 1 Biostatistics Cited in 1 Field 5 Statistics (62-XX) Citations by Year