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 |
| 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:
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