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)
The goal of LSJM is to estimate some location scale joint models.
You can install the development version of LSJM from GitHub with:
# install.packages("devtools")
devtools::install_github("LeonieCourcoul/LSJM")