Plausible Naive Bayes Classifier Using PDE R package PDEnaiveBayes version 0.2.9 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>. Software 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 Michael Thrun <m.thrun@gmx.net> Comprehensive R Archive Network (CRAN) Michael Thrun [aut, cph, cre] (ORCID: <https://orcid.org/0000-0001-9542-5543>), Quirin Stier [aut, rev] (ORCID: <https://orcid.org/0000-0002-7896-4737>), Tim Robin Neldner [ctr, ctb] GPL-3 2026-01-10 application/tgz https://CRAN.R-project.org/package=PDEnaiveBayes doi:10.32614/CRAN.package.PDEnaiveBayes