Package: flexBART 2.0.6
Sameer K. Deshpande
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. (2026) <doi:10.1214/24-BA1470>.
Authors:
flexBART_2.0.6.tar.gz
flexBART_2.0.6.zip(r-4.7-x86_64)flexBART_2.0.6.zip(r-4.7-arm64)flexBART_2.0.6.zip(r-4.6-x86_64)flexBART_2.0.6.zip(r-4.6-arm64)
flexBART_2.0.6.tar.gz(r-4.7-arm64)flexBART_2.0.6.tar.gz(r-4.7-x86_64)flexBART_2.0.6.tar.gz(r-4.6-arm64)flexBART_2.0.6.tar.gz(r-4.6-x86_64)
flexBART_2.0.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
flexBART/json (API)
| # Install 'flexBART' in R: |
| install.packages('flexBART', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/skdeshpande91/flexbart/issues
Pkgdown/docs site:https://skdeshpande91.github.io
Last updated from:424c3d7172. Checks:10 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 216 | ||
| linux-devel-x86_64 | OK | 255 | ||
| source / vignettes | OK | 287 | ||
| linux-release-arm64 | OK | 227 | ||
| linux-release-x86_64 | OK | 296 | ||
| windows-devel-arm64 | OK | 478 | ||
| windows-devel-x86_64 | OK | 217 | ||
| windows-release-arm64 | OK | 365 | ||
| windows-release-x86_64 | OK | 256 | ||
| wasm-release | OK | 212 |
Exports:flexBARTpredict.flexBARTrflexBART
Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppArmadilloRcppEigenshapesurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| A more flexible BART | flexBART |
| Predicting new observations with previously fitted flexBART model | predict.flexBART |
| Draw samples from the regression tree prior | rflexBART |