Estimate Location-Scale Joint Models R package LSJM version 0.1.0 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>. Software Depends: R (>= 3.5.0) Imports: Rcpp, marqLevAlg, survival, flexsurv, ggplot2, splines, spacefillr, survminer, foreach, doParallel, SmoothHazard, parallel, mvtnorm, dplyr LinkingTo: Rcpp, RcppArmadillo Léonie Courcoul <courcoul.leonie498@gmail.com> Comprehensive R Archive Network (CRAN) Léonie Courcoul [aut, cre], Antoine Barbieri [aut], Hélène Jacqmin-Gadda [aut] GPL (>= 2) 2026-08-04 application/tgz https://CRAN.R-project.org/package=LSJM doi:10.32614/CRAN.package.LSJM