Package: DynForest
Title: Random Forest with Multivariate Longitudinal Predictors
Version: 1.0.0
Authors@R: 
    person("Anthony", "Devaux", email = "anthony.devaux@u-bordeaux.fr", 
    role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-8862-4218"))
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, Dufouil, Genuer & Proust-Lima (2022) 
    <doi: 10.48550/arXiv.2208.05801>.
Imports: DescTools, cmprsk, doParallel, foreach, ggplot2, lcmm,
        methods, pbapply, pec, prodlim, stringr, survival, zoo
Depends: R (>= 3.5.0)
License: LGPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.2.0
URL: https://github.com/anthonydevaux/DynForest
BugReports: https://github.com/anthonydevaux/DynForest/issues
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-09-20 08:34:19 UTC; antho
Author: Anthony Devaux [aut, cre] (<https://orcid.org/0000-0002-8862-4218>)
Maintainer: Anthony Devaux <anthony.devaux@u-bordeaux.fr>
Repository: CRAN
Date/Publication: 2022-09-20 10:46:17 UTC
