Package: LSJM
Title: Estimate Location-Scale Joint Models
Version: 0.1.0
Authors@R: 
    c(person("Léonie", "Courcoul", email ="courcoul.leonie498@gmail.com", role = c("aut", "cre")),
    person("Antoine", "Barbieri", ,email = "antoine.barbieri@u-bordeaux.fr", role = c("aut")),
    person("Hélène", "Jacqmin-Gadda", email = "helene.jacqmin-gadda@u-bordeaux.fr", role = c("aut"))
    )
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>.
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 7.3.2
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, marqLevAlg, survival, flexsurv, ggplot2, splines,
        spacefillr, survminer, foreach, doParallel, SmoothHazard,
        parallel, mvtnorm, dplyr
Depends: R (>= 3.5.0)
NeedsCompilation: yes
Packaged: 2026-07-24 17:27:14 UTC; courc
Author: Léonie Courcoul [aut, cre],
  Antoine Barbieri [aut],
  Hélène Jacqmin-Gadda [aut]
Maintainer: Léonie Courcoul <courcoul.leonie498@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-04 13:10:23 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-08-04 16:27:39 UTC; unix
Archs: LSJM.so.dSYM
