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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) <arXiv:2306.16785>).
Getting started
Browse package contents
Package details |
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| Author | Léonie Courcoul [aut, cre], Antoine Barbieri [aut], Hélène Jacqmin-Gadda [aut] |
| Maintainer | Léonie Courcoul <leonie.courcoul@u-bordeaux.fr> |
| License | GPL (>= 3) |
| Version | 0.1.0 |
| URL | https://github.com/LeonieCourcoul/FlexVarJM |
| Package repository | View on CRAN |
| Installation |
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