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


Reference manual: FlexVarJM.pdf
Vignettes: FlexVarJM


Package source: FlexVarJM_0.1.0.tar.gz
Windows binaries: r-devel: FlexVarJM_0.1.0.zip, r-release: FlexVarJM_0.1.0.zip, r-oldrel: FlexVarJM_0.1.0.zip
macOS binaries: r-release (arm64): FlexVarJM_0.1.0.tgz, r-oldrel (arm64): FlexVarJM_0.1.0.tgz, r-release (x86_64): FlexVarJM_0.1.0.tgz, r-oldrel (x86_64): FlexVarJM_0.1.0.tgz


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