Package: conforest 2.0.1
Kellin Rumsey
conforest: Conformal Random Forests for Response Surface Emulation
Fits emulators, also known as surrogates or response surfaces, using conformal inference with random forests. The conformal calibration is performed using out-of-bag samples from the forest, eliminating the need for a separate hold-out set. The method is based on Johansson et al. (2014 <doi:10.1007/s10994-014-5453-0>).
Authors:
conforest_2.0.1.tar.gz
conforest_2.0.1.tar.gz(r-4.7-any)conforest_2.0.1.tar.gz(r-4.6-any)
conforest_2.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
conforest/json (API)
| # Install 'conforest' in R: |
| install.packages('conforest', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:2b2e8c6766. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 103 | ||
| source / vignettes | OK | 159 | ||
| linux-release-x86_64 | OK | 132 | ||
| wasm-release | OK | 113 |
Exports:rfokrfok_cv_beta
Dependencies:randomForestRANN
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Plot method for rfok | plot.rfok |
| Predict method for rfok | predict.rfok |
| Print method for rfok objects | print.rfok |
| Conformal Random Forest with Out-of-bag KNN | rfok |
| Cross-validate the rfok sensitivity parameter | rfok_cv_beta |
| Summary method for rfok objects | summary.rfok |
