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:Ryan Yee [aut], Sameer K. Deshpande [aut, cre]

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

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openblascppopenmp

3.60 score 4 stars 3 exports 2 dependencies

Last updated from:4eaa550623. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK243
linux-devel-x86_64OK204
source / vignettesOK247
linux-release-arm64OK218
linux-release-x86_64OK208
macos-release-arm64OK215
macos-release-x86_64OK448
macos-oldrel-arm64OK186
macos-oldrel-x86_64OK347
windows-develOK246
windows-releaseOK224
windows-oldrelOK208
wasm-releaseOK189

Exports:predict_ridgeBARTprobit_ridgeBARTridgeBART

Dependencies:RcppRcppArmadillo