Package: AddiVortes Title: (Bayesian) Additive Voronoi Tessellations Version: 1.0.1 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")), person("Leo", "Thomson", , "leo@feasibly.co.uk", role = c("aut"))) Description: Implements the Bayesian Additive Voronoi Tessellation model for non-parametric regression, classification 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 and probit classification models, estimate the associated posterior distributions and make predictions. It is particularly useful for spatial data analysis, machine learning, complex function approximation and Bayesian modelling where the underlying structure is unknown. License: GPL (>= 3) Encoding: UTF-8 Roxygen: list(markdown = TRUE) Depends: R (>= 4.0.0) 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: 8.1.0 Repository: https://johnpaulgosling.r-universe.dev Date/Publication: 2026-09-15 20:57:51 UTC RemoteUrl: https://github.com/johnpaulgosling/addivortes RemoteRef: HEAD RemoteSha: af8287c793b3c27fbcbdee179d6e3c059e6b53d0 NeedsCompilation: yes Packaged: 2026-10-20 11:05:41 UTC; root Author: Adam Stone [aut] (ORCID: ), John Paul Gosling [aut, cre] (ORCID: ), Andrew Iskauskas [aut] (ORCID: ), Leo Thomson [aut] Maintainer: John Paul Gosling