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) <doi:10.48550/arXiv.2306.16785>).
Version: 0.1.0 Depends: R (≥ 3.5.0), splines, survival Imports: ggplot2, lcmm, marqLevAlg, mvtnorm, randtoolbox, Rcpp, stats, survminer, utils LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, rmarkdown Published: 2023-11-20 DOI: 10.32614/CRAN.package.FlexVarJM Author: Léonie Courcoul [aut, cre], Antoine Barbieri [aut], Hélène Jacqmin-Gadda [aut] Maintainer: Léonie Courcoul <leonie.courcoul at u-bordeaux.fr> BugReports: https://github.com/LeonieCourcoul/FlexVarJM/issues License: GPL (≥ 3) URL: https://github.com/LeonieCourcoul/FlexVarJM NeedsCompilation: yes Materials: README NEWS CRAN checks: FlexVarJM results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=FlexVarJM to link to this page.
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