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PDEnaiveBayes: Plausible Naive Bayes Classifier Using PDE

A nonparametric, multicore-capable plausible naive Bayes classifier based on the Pareto density estimation (PDE) featuring a plausible approach to a pitfall in the Bayesian theorem covering low evidence cases. Stier, Q., Hoffmann, J., and Thrun, M.C.: "Classifying with the Fine Structure of Distributions: Leveraging Distributional Information for Robust and Plausible Naïve Bayes" (2025).

Version: 0.2.8
Depends: R (≥ 2.10)
Imports: Rcpp (≥ 1.0.8), RcppParallel (≥ 5.1.4), pracma, plotly, utils, grDevices, stats, graphics, methods, ggplot2, DatabionicSwarm, memshare
LinkingTo: Rcpp, RcppParallel
Suggests: FCPS (≥ 1.3.5), ABCanalysis, modeest, deldir, ScatterDensity (≥ 0.1.1), gridExtra, parallelDist, parallel, DataVisualizations (≥ 1.1.5)
Published: 2025-11-17
DOI: 10.32614/CRAN.package.PDEnaiveBayes
Author: Michael Thrun ORCID iD [aut, cph, cre], Quirin Stier ORCID iD [aut, rev], Tim Robin Neldner [ctr, ctb]
Maintainer: Michael Thrun <m.thrun at gmx.net>
BugReports: https://github.com/Mthrun/PDEbayes/issues
License: GPL-3
NeedsCompilation: yes
CRAN checks: PDEnaiveBayes results

Documentation:

Reference manual: PDEnaiveBayes.html , PDEnaiveBayes.pdf

Downloads:

Package source: PDEnaiveBayes_0.2.8.tar.gz
Windows binaries: r-devel: PDEnaiveBayes_0.2.8.zip, r-release: PDEnaiveBayes_0.2.8.zip, r-oldrel: PDEnaiveBayes_0.2.8.zip
macOS binaries: r-release (arm64): PDEnaiveBayes_0.2.8.tgz, r-oldrel (arm64): PDEnaiveBayes_0.2.8.tgz, r-release (x86_64): PDEnaiveBayes_0.2.8.tgz, r-oldrel (x86_64): PDEnaiveBayes_0.2.8.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=PDEnaiveBayes to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.