Package: LSJM
Title: Estimate Location-Scale Joint Models
Version: 0.1.1
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
Roxygen: list(markdown = TRUE)
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)
Config/pak/sysreqs: cmake make libicu-dev libjpeg-dev libpng-dev
        libxml2-dev libssl-dev
Repository: https://leoniecourcoul.r-universe.dev
Date/Publication: 2026-09-14 07:13:30 UTC
RemoteUrl: https://github.com/leoniecourcoul/lsjm
RemoteRef: HEAD
RemoteSha: 749a776e7e880cc0118cb0879d570b7a8a4e410c
NeedsCompilation: yes
Packaged: 2026-09-14 14:33:13 UTC; root
Author: Léonie Courcoul [aut, cre],
  Antoine Barbieri [aut],
  Hélène Jacqmin-Gadda [aut]
Maintainer: Léonie Courcoul <courcoul.leonie498@gmail.com>