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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | LSJM_0.1.0.tar.gz |
3.3 MiB |
0.1.0 |
rolling linux/noble R-4.5 | LSJM_0.1.0.tar.gz |
3.4 MiB |
0.1.0 |
rolling source/ R- | LSJM_0.1.0.tar.gz |
523.1 KiB |
0.1.0 |
latest linux/jammy R-4.5 | LSJM_0.1.0.tar.gz |
3.3 MiB |
0.1.0 |
latest linux/noble R-4.5 | LSJM_0.1.0.tar.gz |
3.4 MiB |
0.1.0 |
latest source/ R- | LSJM_0.1.0.tar.gz |
523.1 KiB |
0.1.0 |
2026-04-23 source/ R- | LSJM_0.1.0.tar.gz |
0 B |