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LSJM
View on CRAN: Click
here
Download and install LSJM package within the R console
Install from CRAN:
install.packages("LSJM")
Install from Github:
library("remotes")
install_github("cran/LSJM") Install by package version:
library("remotes")
install_version("LSJM", "0.1.1") Attach the package and use:
library("LSJM")
Maintained by
Léonie Courcoul
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-04
Latest Update: 2026-08-04
Description:
Estimation of mixed models including a subject-specific variance that can be time- and covariate-dependent or defined for within- and between-visit variability. In the joint modeling framework, the package handles left truncation, interval censoring, and multistate models, and allows a flexible dependence structure between competing events and the longitudinal marker. Estimation is performed in a frequentist framework using the Marquardt-Levenberg algorithm. Methods are described in Courcoul et al. (2025) <doi:10.1002/sim.70244> and in Courcoul et al. (2026) <doi:10.1002/bimj.70123>.
How to cite:
Léonie Courcoul (2026). LSJM: Estimate Location-Scale Joint Models. R package version 0.1.1, https://cran.r-project.org/web/packages/LSJM. Accessed 02 Nov. 2026.
Previous versions and publish date:
0.1.0 (2026-08-04 15:10), (2026-09-14 23:30)
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