DynForest
Random Forest with Multivariate Longitudinal Predictors
Based on random forest principle, 'DynForest' is able to include multiple longitudinal predictors to provide individual predictions. Longitudinal predictors are modeled through the random forest. The methodology is fully described for a survival outcome in: Devaux, Helmer, Genuer & Proust-Lima (2023) <doi: 10.1177/09622802231206477>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2.0 |
rolling linux/jammy R-4.5 | DynForest_1.2.0.tar.gz |
1.6 MiB |
1.2.0 |
rolling linux/noble R-4.5 | DynForest_1.2.0.tar.gz |
1.6 MiB |
1.2.0 |
rolling source/ R- | DynForest_1.2.0.tar.gz |
2.6 MiB |
1.2.0 |
latest linux/jammy R-4.5 | DynForest_1.2.0.tar.gz |
1.6 MiB |
1.2.0 |
latest linux/noble R-4.5 | DynForest_1.2.0.tar.gz |
1.6 MiB |
1.2.0 |
latest source/ R- | DynForest_1.2.0.tar.gz |
2.6 MiB |
1.2.0 |
2026-04-26 source/ R- | DynForest_1.2.0.tar.gz |
2.6 MiB |
1.2.0 |
2026-04-23 source/ R- | DynForest_1.2.0.tar.gz |
2.6 MiB |
1.2.0 |
2026-04-09 windows/windows R-4.5 | DynForest_1.2.0.zip |
1.6 MiB |
1.2.0 |
2025-04-20 source/ R- | DynForest_1.2.0.tar.gz |
2.6 MiB |