landmaRk
Time-to-Event Landmark Analysis using an Array of Longitudinal and Survival Sub-Models
Provides a modular end-to-end framework for dynamic risk prediction based on time-to-event and longitudinal data. This allows flexible specifications for the longitudinal and survival sub-models. The 'landmaRk' package enables reproducible benchmarks of different model choices, including cross-validation to assess out-of-sample predictive performance. Methods are described in Velasco-Pardo, Constantine-Cooke, Lees and Vallejos (2026, manuscript under preparation) 'Landmarking with Latent Class Mixed Models for Dynamic Prediction of Time-to-event Data with Heterogeneous Biomarker Trajectories'.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | landmaRk_0.1.1.tar.gz |
599.3 KiB |
0.1.1 |
rolling linux/noble R-4.5 | landmaRk_0.1.1.tar.gz |
599.2 KiB |
0.1.1 |
rolling source/ R- | landmaRk_0.1.1.tar.gz |
359.8 KiB |
0.1.1 |
latest linux/jammy R-4.5 | landmaRk_0.1.1.tar.gz |
599.3 KiB |
0.1.1 |
latest linux/noble R-4.5 | landmaRk_0.1.1.tar.gz |
599.2 KiB |
0.1.1 |
latest source/ R- | landmaRk_0.1.1.tar.gz |
359.8 KiB |
0.1.1 |
2026-04-23 source/ R- | landmaRk_0.1.1.tar.gz |
0 B |