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)).
- Version0.1.0
- R version≥ 3.5.0 splines,
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Last release11/20/2023
Documentation
Team
Léonie Courcoul
Antoine Barbieri
Show author detailsRolesAuthorHélène Jacqmin-Gadda
Show author detailsRolesAuthor
Insights
Last 30 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Imports7 packages
- Suggests2 packages
- Linking To2 packages