LSJM: Estimate Location-Scale Joint Models
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>.
| Version: |
0.1.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
Rcpp, marqLevAlg, survival, flexsurv, ggplot2, splines, spacefillr, survminer, foreach, doParallel, SmoothHazard, parallel, mvtnorm, dplyr |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Published: |
2026-08-04 |
| DOI: |
10.32614/CRAN.package.LSJM (may not be active yet) |
| Author: |
Léonie Courcoul [aut, cre],
Antoine Barbieri [aut],
Hélène Jacqmin-Gadda [aut] |
| Maintainer: |
Léonie Courcoul <courcoul.leonie498 at gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| Materials: |
README, NEWS |
| CRAN checks: |
LSJM results |
Documentation:
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