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
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: 2026-10-15 06:20:33 UTC; root
Author: Léonie Courcoul [aut, cre], Antoine Barbieri [aut], Hélène
        Jacqmin-Gadda [aut]
Maintainer: Léonie Courcoul <courcoul.leonie498@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-09-14 21:30:07 UTC
RemoteUrl: https://github.com/cran/LSJM
RemoteRef: HEAD
RemoteSha: c28a350bb569c743595259f7ed51e7db9074ccf5