Package: ridgeBART 1.0.2

Sameer K. Deshpande
ridgeBART: Bayesian Additive Regression Trees with Ridge Function Outputs
Implements an extension of Bayesian Additive Regression Trees (BART) in which each regression tree outputs a linear combination of random ridge functions (i.e., a composition of a non-linear function like cosine, hyperbolic tangent, the rectified linear unit with an affine transformation) instead of a constant. Can be used to perform "targeted smoothing" in which trees split on certain covariates but output smooth functions in other covariates. For more information, see Yee, Ghosh, and Deshpande (2026+) <doi:10.48550/arXiv.2411.07984>.
Authors:
ridgeBART_1.0.2.tar.gz
ridgeBART_1.0.2.zip(r-4.7)ridgeBART_1.0.2.zip(r-4.6)ridgeBART_1.0.2.zip(r-4.5)
ridgeBART_1.0.2.tgz(r-4.6-x86_64)ridgeBART_1.0.2.tgz(r-4.6-arm64)ridgeBART_1.0.2.tgz(r-4.5-x86_64)ridgeBART_1.0.2.tgz(r-4.5-arm64)
ridgeBART_1.0.2.tar.gz(r-4.7-arm64)ridgeBART_1.0.2.tar.gz(r-4.7-x86_64)ridgeBART_1.0.2.tar.gz(r-4.6-arm64)ridgeBART_1.0.2.tar.gz(r-4.6-x86_64)
ridgeBART_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ridgeBART/json (API)
| # Install 'ridgeBART' in R: |
| install.packages('ridgeBART', repos = c('https://ryanyee3.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ryanyee3/ridgebart/issues
Last updated from:4eaa550623. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 243 | ||
| linux-devel-x86_64 | OK | 204 | ||
| source / vignettes | OK | 247 | ||
| linux-release-arm64 | OK | 218 | ||
| linux-release-x86_64 | OK | 208 | ||
| macos-release-arm64 | OK | 215 | ||
| macos-release-x86_64 | OK | 448 | ||
| macos-oldrel-arm64 | OK | 186 | ||
| macos-oldrel-x86_64 | OK | 347 | ||
| windows-devel | OK | 246 | ||
| windows-release | OK | 224 | ||
| windows-oldrel | OK | 208 | ||
| wasm-release | OK | 189 |
Exports:predict_ridgeBARTprobit_ridgeBARTridgeBART
Dependencies:RcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Predicting new observations with previously fit ridgeBART models. | predict_ridgeBART |
| Probit ridgeBART for binary outcomes. | probit_ridgeBART |
| BART with ridge function outputs. | ridgeBART |