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roseRF  

ROSE Random Forests for Robust Semiparametric Efficient Estimation
View on CRAN: Click here


Download and install roseRF package within the R console
Install from CRAN:
install.packages("roseRF")

Install from Github:
library("remotes")
install_github("cran/roseRF")

Install by package version:
library("remotes")
install_version("roseRF", "0.1.0")



Attach the package and use:
library("roseRF")
Maintained by
Elliot H. Young
[Scholar Profile | Author Map]
First Published: 2024-10-11
Latest Update: 2024-10-11
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>.
How to cite:
Elliot H. Young (2024). roseRF: ROSE Random Forests for Robust Semiparametric Efficient Estimation. R package version 0.1.0, https://cran.r-project.org/web/packages/roseRF. Accessed 20 Feb. 2025.
Previous versions and publish date:
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Complete documentation for roseRF
Functions, R codes and Examples using the roseRF R package
Full roseRF package functions and examples
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