flexBART: A More Flexible BART Model

Implements a faster and more expressive version of Bayesian Additive Regression Trees that, at a high level, approximates unknown functions as a weighted sum of binary regression tree ensembles. Supports fitting (generalized) linear varying coefficient models that posits a linear relationship between the inverse link and some covariates but allows that relationship to change as a function of other covariates. Additionally supports fitting heteroscedastic BART models, in which both the mean and log-variance are approximated with separate regression tree ensembles. A formula interface allows for different splitting variables to be used in each ensemble. For more details see Deshpande (2025) <doi:10.1080/10618600.2024.2431072> and Deshpande et al. (2024) <doi:10.1214/24-BA1470>.

Version:	2.0.3
Imports:	Rcpp (≥ 1.0.12), glmnet (≥ 4.0), methods
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	igraph, knitr, quarto
Published:	2026-02-12
DOI:	10.32614/CRAN.package.flexBART
Author:	Sameer K. Deshpande [aut, cre], George Perrett [aut], Ryan Yee [aut], Cecilia Balocchi [aut], Jennifer Hill [aut]
Maintainer:	Sameer K. Deshpande <sameer.deshpande at wisc.edu>
License:	GPL (≥ 3)
URL:	https://skdeshpande91.github.io/flexBART/
NeedsCompilation:	yes
Citation:	flexBART citation info
CRAN checks:	flexBART results

Documentation:

Reference manual:

flexBART.html , flexBART.pdf

Downloads:

Package source:	flexBART_2.0.3.tar.gz
Windows binaries:	r-devel: flexBART_2.0.3.zip, r-release: flexBART_2.0.3.zip, r-oldrel: flexBART_2.0.3.zip
macOS binaries:	r-release (arm64): flexBART_2.0.3.tgz, r-oldrel (arm64): flexBART_2.0.3.tgz, r-release (x86_64): flexBART_2.0.3.tgz, r-oldrel (x86_64): flexBART_2.0.3.tgz

Linking:

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