Package: DynForest Title: Random Forest with Multivariate Longitudinal Predictors Version: 1.1.3 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, cmprsk, doParallel, doRNG, foreach, ggplot2, lcmm, methods, pbapply, pec, prodlim, stringr, survival, zoo Depends: R (>= 4.3.0) License: LGPL (>= 3) LazyData: true Encoding: UTF-8 RoxygenNote: 7.2.3 URL: https://github.com/anthonydevaux/DynForest BugReports: https://github.com/anthonydevaux/DynForest/issues Suggests: knitr, rmarkdown VignetteBuilder: knitr NeedsCompilation: no Packaged: 2024-03-22 11:18:00 UTC; antho Author: Anthony Devaux [aut, cre] (), Robin Genuer [aut] (), Cécile Proust-Lima [aut] (), Louis Capitaine [aut] () Maintainer: Anthony Devaux Repository: CRAN Date/Publication: 2024-03-22 11:30:05 UTC