Movatterモバイル変換


[0]ホーム

URL:


roseRF: ROSE Random Forests for Robust Semiparametric EfficientEstimation

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>.

Version:0.1.0
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)
Published:2024-10-11
DOI:10.32614/CRAN.package.roseRF
Author:Elliot H. Young [aut, cre], Rajen D. Shah [aut]
Maintainer:Elliot H. Young <ey244 at cam.ac.uk>
License:GPL-3
NeedsCompilation:no
Materials:README
CRAN checks:roseRF results

Documentation:

Reference manual:roseRF.html ,roseRF.pdf

Downloads:

Package source: roseRF_0.1.0.tar.gz
Windows binaries: r-devel:roseRF_0.1.0.zip, r-release:roseRF_0.1.0.zip, r-oldrel:roseRF_0.1.0.zip
macOS binaries: r-release (arm64):roseRF_0.1.0.tgz, r-oldrel (arm64):roseRF_0.1.0.tgz, r-release (x86_64):roseRF_0.1.0.tgz, r-oldrel (x86_64):roseRF_0.1.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=roseRFto link to this page.


[8]ページ先頭

©2009-2025 Movatter.jp