AddiVortes: (Bayesian) Additive Voronoi Tessellations

Implements the Bayesian Additive Voronoi Tessellation model for non-parametric regression and machine learning as introduced in Stone and Gosling (2025) <doi:10.1080/10618600.2024.2414104>. This package provides a flexible alternative to BART (Bayesian Additive Regression Trees) using Voronoi tessellations instead of trees. Users can fit Bayesian regression models, estimate posterior distributions, and visualise the resulting tessellations. It is particularly useful for spatial data analysis, machine learning regression, complex function approximation and Bayesian modeling where the underlying structure is unknown. The method is well-suited to capturing spatial patterns and non-linear relationships.

Version: 0.4.7
Depends: R (≥ 3.5.0)
Imports: parallel (≥ 4.0.0), pbapply (≥ 1.6)
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), xml2
Published: 2026-01-13
DOI: 10.32614/CRAN.package.AddiVortes (may not be active yet)
Author: Adam Stone ORCID iD [aut], John Paul Gosling ORCID iD [aut, cre]
Maintainer: John Paul Gosling <john-paul.gosling at durham.ac.uk>
BugReports: https://github.com/johnpaulgosling/AddiVortes/issues
License: GPL (≥ 3)
URL: https://johnpaulgosling.github.io/AddiVortes/
NeedsCompilation: yes
Materials: README
CRAN checks: AddiVortes results

Documentation:

Reference manual: AddiVortes.html , AddiVortes.pdf
Vignettes: Machine Learning with AddiVortes: A Bayesian Alternative to BART (source, R code)
Bayesian Regression and Prediction with AddiVortes (source, R code)

Downloads:

Package source: AddiVortes_0.4.7.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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