ROSE Random Forests for Robust Semiparametric Efficient Estimation

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) .


roseRF

The roseRF package can be used to estimate RObust Semiparametric Efficient (ROSE) estimators for parameters in the partially parameteric model.

Installation

The development version can be installed from GitHub with:

# install.packages("devtools")
devtools::install_github("elliot-young/roseRF")

Reference manual

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install.packages("roseRF")

0.1.0 by Elliot H. Young, 2 years ago


Browse source code at https://github.com/cran/roseRF


Authors: Elliot H. Young [aut, cre] , Rajen D. Shah [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports caret, glmnet, keras, mgcv, mlr, ParamHelpers, ranger, grf, rpart, stats, tuneRanger, xgboost

Suggests knitr, rmarkdown, testthat


See at CRAN