FlexVarJM: Estimate Joint Models with Subject-Specific Variance
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 |
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