jmcm
Joint Mean-Covariance Models using 'Armadillo' and S4
Fit joint mean-covariance models for longitudinal data. The models and their components are represented using S4 classes and methods. The core computational algorithms are implemented using the 'Armadillo' C++ library for numerical linear algebra and 'RcppArmadillo' glue.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.5 |
rolling linux/jammy R-4.5 | jmcm_0.2.5.tar.gz |
1.2 MiB |
0.2.5 |
rolling linux/noble R-4.5 | jmcm_0.2.5.tar.gz |
1.2 MiB |
0.2.5 |
rolling source/ R- | jmcm_0.2.5.tar.gz |
998.8 KiB |
0.2.5 |
latest linux/jammy R-4.5 | jmcm_0.2.5.tar.gz |
1.2 MiB |
0.2.5 |
latest linux/noble R-4.5 | jmcm_0.2.5.tar.gz |
1.2 MiB |
0.2.5 |
latest source/ R- | jmcm_0.2.5.tar.gz |
998.8 KiB |
0.2.5 |
2026-04-26 source/ R- | jmcm_0.2.5.tar.gz |
998.8 KiB |
0.2.5 |
2026-04-23 source/ R- | jmcm_0.2.5.tar.gz |
998.8 KiB |
0.2.5 |
2026-04-09 windows/windows R-4.5 | jmcm_0.2.5.zip |
1.6 MiB |
0.2.4 |
2025-04-20 source/ R- | jmcm_0.2.4.tar.gz |
998.6 KiB |