Estimate Joint Models with Subject-Specific Variance R package FlexVarJM version 0.1.0 Estimation of mixed models including a subject-specific variance which can be time and covariate dependent. In the joint model framework, the package handles left truncation and allows a flexible dependence structure between the competing events and the longitudinal marker. The estimation is performed under the frequentist framework, using the Marquardt-Levenberg algorithm. (Courcoul, Tzourio, Woodward, Barbieri, Jacqmin-Gadda (2023) <arXiv:2306.16785>). Software Depends: R (>= 3.5.0), splines, survival Imports: ggplot2, lcmm, marqLevAlg, mvtnorm, randtoolbox, Rcpp, stats, survminer, utils LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, rmarkdown Léonie Courcoul <leonie.courcoul@u-bordeaux.fr> Comprehensive R Archive Network (CRAN) Léonie Courcoul [aut, cre], Antoine Barbieri [aut], Hélène Jacqmin-Gadda [aut] GPL (>= 3) 2023-11-20 application/tgz https://CRAN.R-project.org/package=FlexVarJM doi:10.32614/CRAN.package.FlexVarJM