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
DOI:	10.32614/CRAN.package.FlexVarJM
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:

Reference manual:	FlexVarJM.pdf
Vignettes:	FlexVarJM

Downloads:

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

Linking:

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