Package: roseRF
Type: Package
Title: ROSE Random Forests for Robust Semiparametric Efficient
        Estimation
Version: 0.1.0
Authors@R: c(person("Elliot H.", "Young", email = "ey244@cam.ac.uk",role = c("aut", "cre")),
  person("Rajen D.", "Shah", role = c("aut")))
Maintainer: Elliot H. Young <ey244@cam.ac.uk>
Description: ROSE (RObust Semiparametric Efficient) random forests for
        robust semiparametric efficient estimation in partially
        parametric models (containing generalised partially linear
        models). Details can be found in the paper by Young and Shah
        (2024) <doi:10.48550/arXiv.2410.03471>.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.2.3
Imports: caret (>= 6.0.93), glmnet (>= 4.1.6), keras, mgcv, mlr (>=
        2.19.1), ParamHelpers, ranger (>= 0.14.1), grf, rpart, stats,
        tuneRanger (>= 0.5), xgboost
Depends: R (>= 4.2.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-09-22 08:03:57 UTC; root
Author: Elliot H. Young [aut, cre], Rajen D. Shah [aut]
Repository: https://cran.r-universe.dev
Date/Publication: 2024-10-11 08:00:02 UTC
RemoteUrl: https://github.com/cran/roseRF
RemoteRef: HEAD
RemoteSha: 5b78848460d21e2568d1d603fb6fd3dc2cf7e053