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FlexVarJM  

Estimate Joint Models with Subject-Specific Variance
View on CRAN: Click here


Download and install FlexVarJM package within the R console
Install from CRAN:
install.packages("FlexVarJM")

Install from Github:
library("remotes")
install_github("cran/FlexVarJM")

Install by package version:
library("remotes")
install_version("FlexVarJM", "0.1.0")



Attach the package and use:
library("FlexVarJM")
Maintained by
Léonie Courcoul
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-11-20
Latest Update: 2023-11-20
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) ).
How to cite:
Léonie Courcoul (2023). FlexVarJM: Estimate Joint Models with Subject-Specific Variance. R package version 0.1.0, https://cran.r-project.org/web/packages/FlexVarJM
Previous versions and publish date:
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