gmvjoint
Joint Models of Survival and Multivariate Longitudinal Data
Fit joint models of survival and multivariate longitudinal data. The longitudinal data is specified by generalised linear mixed models. The joint models are fit via maximum likelihood using an approximate expectation maximisation algorithm. Bernhardt (2015) <doi:10.1016/j.csda.2014.11.011>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.4.5 |
rolling linux/jammy R-4.5 | gmvjoint_0.4.5.tar.gz |
542.1 KiB |
0.4.5 |
rolling linux/noble R-4.5 | gmvjoint_0.4.5.tar.gz |
550.6 KiB |
0.4.5 |
rolling source/ R- | gmvjoint_0.4.5.tar.gz |
141.4 KiB |
0.4.5 |
latest linux/jammy R-4.5 | gmvjoint_0.4.5.tar.gz |
542.1 KiB |
0.4.5 |
latest linux/noble R-4.5 | gmvjoint_0.4.5.tar.gz |
550.6 KiB |
0.4.5 |
latest source/ R- | gmvjoint_0.4.5.tar.gz |
141.4 KiB |
0.4.5 |
2026-04-26 source/ R- | gmvjoint_0.4.5.tar.gz |
141.4 KiB |
0.4.5 |
2026-04-23 source/ R- | gmvjoint_0.4.5.tar.gz |
141.4 KiB |
0.4.5 |
2026-04-09 windows/windows R-4.5 | gmvjoint_0.4.5.zip |
947.9 KiB |
0.4.5 |
2025-04-20 source/ R- | gmvjoint_0.4.5.tar.gz |
141.4 KiB |