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ridgeBART  

Bayesian Additive Regression Trees with Ridge Function Outputs
View on CRAN: Click here


Download and install ridgeBART package within the R console
Install from CRAN:
install.packages("ridgeBART")

Install from Github:
library("remotes")
install_github("cran/ridgeBART")

Install by package version:
library("remotes")
install_version("ridgeBART", "1.0.2")



Attach the package and use:
library("ridgeBART")
Maintained by
Sameer K. Deshpande
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-05-27
Latest Update: 2026-05-27
Description:
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>.
How to cite:
Sameer K. Deshpande (2026). ridgeBART: Bayesian Additive Regression Trees with Ridge Function Outputs. R package version 1.0.2, https://cran.r-project.org/web/packages/ridgeBART. Accessed 18 Sep. 2026.
Previous versions and publish date:
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Complete documentation for ridgeBART
Functions, R codes and Examples using the ridgeBART R package
Full ridgeBART package functions and examples
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