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landmaRk  

Time-to-Event Landmark Analysis using an Array of Longitudinal and Survival Sub-Models
View on CRAN: Click here


Download and install landmaRk package within the R console
Install from CRAN:
install.packages("landmaRk")

Install from Github:
library("remotes")
install_github("cran/landmaRk")

Install by package version:
library("remotes")
install_version("landmaRk", "0.1.3")



Attach the package and use:
library("landmaRk")
Maintained by
Victor Velasco-Pardo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-05-27
Latest Update: 2026-05-27
Description:
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'.
How to cite:
Victor Velasco-Pardo (2026). landmaRk: Time-to-Event Landmark Analysis using an Array of Longitudinal and Survival Sub-Models. R package version 0.1.3, https://cran.r-project.org/web/packages/landmaRk. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:51), 0.1.1 (2026-05-27 12:00), 0.1.2 (2026-06-26 15:30)
Other packages that cited landmaRk R package
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Complete documentation for landmaRk
Functions, R codes and Examples using the landmaRk R package
Full landmaRk package functions and examples
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