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 Naive Bayes" (2026), Machine Learning and Knowledge Extraction (MAKE), <doi:10.3390/make8010013>.

Version:	0.2.9
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), knitr
Published:	2026-01-10
DOI:	10.32614/CRAN.package.PDEnaiveBayes
Author:	Michael Thrun [aut, cph, cre], Quirin Stier [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
Citation:	PDEnaiveBayes citation info
Materials:	README
CRAN checks:	PDEnaiveBayes results

Documentation:

Reference manual:	PDEnaiveBayes.html , PDEnaiveBayes.pdf
Vignettes:	An Introduction to PDE naive Bayes (PDENB) (source, R code)

Downloads:

Package source:	PDEnaiveBayes_0.2.9.tar.gz
Windows binaries:	r-devel: PDEnaiveBayes_0.2.9.zip, r-release: PDEnaiveBayes_0.2.9.zip, r-oldrel: PDEnaiveBayes_0.2.9.zip
macOS binaries:	r-release (arm64): PDEnaiveBayes_0.2.9.tgz, r-oldrel (arm64): PDEnaiveBayes_0.2.9.tgz, r-release (x86_64): PDEnaiveBayes_0.2.9.tgz, r-oldrel (x86_64): PDEnaiveBayes_0.2.9.tgz
Old sources:	PDEnaiveBayes archive

Linking:

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