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 (may not be active yet)
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
CRAN checks:	PDEnaiveBayes results

Documentation:

Reference manual:

PDEnaiveBayes.html , PDEnaiveBayes.pdf

Downloads:

Package source:	PDEnaiveBayes_0.2.8.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): PDEnaiveBayes_0.2.8.tgz

Linking:

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