The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
| Reference manual: | roseRF.pdf |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=roseRF to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.