https://victorvelasco.r-universe.devRecent package updates in victorvelascoR-universehttps://github.com/victorvelasco.pnghttps://victorvelasco.r-universe.devWed, 14 Oct 2026 10:22:06 GMTvvelasco@ed.ac.uk (Victor Velasco-Pardo)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, et al. (2026) <arXiv:2606.24678>.https://github.com/r-universe/vallejosgroup/actions/runs/38579174624Wed, 14 Oct 2026 10:22:06 GMTlandmaRk0.1.4.9000successhttps://vallejosgroup.r-universe.devhttps://github.com/vallejosgroup/landmaRklandmaRk-cv.RmdlandmaRk-cv.htmlCross-validation with the landmaRk package2025-08-15 14:48:452026-10-08 15:06:17landmaRk.RmdlandmaRk.htmlIntroduction to the landmaRk package2025-06-16 14:49:542026-10-08 15:06:17superlandmarking.Rmdsuperlandmarking.htmlSuperlandmarking with static covariates2026-10-14 10:22:062026-10-14 10:22:06