Package: FlexVarJM Title: Estimate Joint Models with Subject-Specific Variance Version: 0.1.0 Authors@R: c(person("Léonie", "Courcoul", email ="leonie.courcoul@u-bordeaux.fr", role = c("aut", "cre")), person("Antoine", "Barbieri", ,email = "antoine.barbieri@u-bordeaux.fr", role = c("aut")), person("Hélène", "Jacqmin-Gadda", email = "helene.jacqmin-gadda@u-bordeaux.fr", role = c("aut")) ) Description: 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) ). License: GPL (>= 3) Encoding: UTF-8 RoxygenNote: 7.2.3 Imports: ggplot2, lcmm, marqLevAlg, mvtnorm, randtoolbox, Rcpp, stats, survminer, utils Depends: R (>= 3.5.0), splines, survival URL: https://github.com/LeonieCourcoul/FlexVarJM BugReports: https://github.com/LeonieCourcoul/FlexVarJM/issues LazyData: true Suggests: knitr, rmarkdown VignetteBuilder: knitr LinkingTo: Rcpp, RcppArmadillo NeedsCompilation: yes Packaged: 2026-10-10 16:53:09 UTC; root Author: Léonie Courcoul [aut, cre], Antoine Barbieri [aut], Hélène Jacqmin-Gadda [aut] Maintainer: Léonie Courcoul Repository: https://cran.r-universe.dev Date/Publication: 2023-11-21 02:40:27 UTC RemoteUrl: https://github.com/cran/FlexVarJM RemoteRef: HEAD RemoteSha: ae1340b8596beba46a7e3d748ba7daa79204c44f