Package: AddiVortes Title: (Bayesian) Additive Voronoi Tessellations Version: 0.6.6 Authors@R: c(person("Adam", "Stone", , "adam.stone2@durham.ac.uk", role = c("aut"), comment = c(ORCID = "0009-0004-0058-6117")), person("John Paul", "Gosling", , "john-paul.gosling@durham.ac.uk", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-4072-3022")), person("Andrew", "Iskauskas", ,"andrew.iskauskas@durham.ac.uk", role = c("aut"), comment = c(ORCID = "0000-0003-2825-3651"))) Description: Implements the Bayesian Additive Voronoi Tessellation model for non-parametric regression and machine learning as introduced in Stone and Gosling (2025) . This package provides a flexible alternative to BART (Bayesian Additive Regression Trees) using Voronoi tessellations instead of trees. Users can fit Bayesian regression models (estimating the associated posterior distributions and make predictions. 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. License: GPL (>= 3) Encoding: UTF-8 Roxygen: list(markdown = TRUE) Depends: R (>= 4.0.0) Imports: parallel, pbapply (>= 1.6) Suggests: knitr, rmarkdown, testthat (>= 3.0.0), withr, xml2 SystemRequirements: C++20 Config/testthat/edition: 3 URL: https://johnpaulgosling.github.io/AddiVortes/ VignetteBuilder: knitr BugReports: https://github.com/johnpaulgosling/AddiVortes/issues LazyData: true Config/roxygen2/version: 8.0.0 RoxygenNote: 7.3.3 Repository: https://johnpaulgosling.r-universe.dev Date/Publication: 2026-07-02 10:52:57 UTC RemoteUrl: https://github.com/johnpaulgosling/addivortes RemoteRef: HEAD RemoteSha: 5236b6fe4279a891e13dced80f96ff4387e8545b NeedsCompilation: yes Packaged: 2026-07-02 11:54:41 UTC; root Author: Adam Stone [aut] (ORCID: ), John Paul Gosling [aut, cre] (ORCID: ), Andrew Iskauskas [aut] (ORCID: ) Maintainer: John Paul Gosling