Package: DynForest Title: Random Forest with Multivariate Longitudinal Predictors Version: 1.2.1 Authors@R: c( person("Anthony", "Devaux", email = "anthony.devauxbarault@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-8862-4218")), person("Robin", "Genuer", email = "robin.genuer@u-bordeaux.fr", role = c("aut"), comment = c(ORCID = "0000-0002-0981-3943")), person("Cécile", "Proust-Lima", email = "cecile.proust-lima@u-bordeaux.fr", role = c("aut"), comment = c(ORCID = "0000-0002-9884-955X")), person("Louis", "Capitaine", role = c("aut"), comment = c(ORCID = "0000-0001-6800-2342")) ) Description: 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) . Imports: DescTools, cli, cmprsk, doParallel, doRNG, foreach, ggplot2, lcmm, methods, pbapply, pec, prodlim, stringr, survival, zoo Depends: R (>= 4.4.0) License: LGPL (>= 3) LazyData: true Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.2 URL: https://github.com/anthonydevaux/DynForest BugReports: https://github.com/anthonydevaux/DynForest/issues Suggests: knitr, rmarkdown VignetteBuilder: knitr Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev libx11-dev zlib1g-dev Repository: https://anthonydevaux.r-universe.dev Date/Publication: 2025-04-11 14:30:01 UTC RemoteUrl: https://github.com/anthonydevaux/dynforest RemoteRef: HEAD RemoteSha: 46cb72d6f13d115a3e04ce7e4be60d8374366052 NeedsCompilation: no Packaged: 2026-07-02 08:53:24 UTC; root Author: Anthony Devaux [aut, cre] (ORCID: ), Robin Genuer [aut] (ORCID: ), Cécile Proust-Lima [aut] (ORCID: ), Louis Capitaine [aut] (ORCID: ) Maintainer: Anthony Devaux