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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'.
| Version: | 0.1.1 |
| Depends: | R (≥ 4.1.0), survival |
| Imports: | dplyr, ggplot2, lme4, Matrix, methods, pec, riskRegression, rlang, lcmm (≥ 2.2.2), doParallel, foreach, utils, timeROC, prodlim |
| Suggests: | JMbayes2, knitr, rmarkdown, testthat (≥ 3.0.0), xml2, tidyverse, spelling, joineR, survminer, withr |
| Published: | 2026-05-27 |
| DOI: | 10.32614/CRAN.package.landmaRk (may not be active yet) |
| Author: | Victor Velasco-Pardo
|
| Maintainer: | Victor Velasco-Pardo <vvelasco at ed.ac.uk> |
| BugReports: | https://github.com/VallejosGroup/landmaRk/issues |
| License: | GPL (≥ 3) |
| URL: | https://vallejosgroup.github.io/landmaRk/, https://github.com/VallejosGroup/landmaRk |
| NeedsCompilation: | no |
| Language: | en-GB |
| Materials: | README, NEWS |
| CRAN checks: | landmaRk results |
| Reference manual: | landmaRk.html , landmaRk.pdf |
| Vignettes: |
Cross-validation with the landmaRk package (source, R code) Introduction to the landmaRk package (source, R code) |
| Package source: | landmaRk_0.1.1.tar.gz |
| Windows binaries: | r-devel: not available, r-release: landmaRk_0.1.1.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): landmaRk_0.1.1.tgz, r-oldrel (arm64): landmaRk_0.1.1.tgz, r-release (x86_64): landmaRk_0.1.1.tgz, r-oldrel (x86_64): landmaRk_0.1.1.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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