ROSE Random Forests for Robust Semiparametric Efficient Estimation R package roseRF version 0.1.0 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>. Software Depends: R (>= 4.2.0) 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 Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Elliot H. Young <ey244@cam.ac.uk> Comprehensive R Archive Network (CRAN) Elliot H. Young [aut, cre], Rajen D. Shah [aut] GPL-3 2024-10-11 application/tgz https://CRAN.R-project.org/package=roseRF doi:10.32614/CRAN.package.roseRF