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PDEnaiveBayes (version 0.2.8)

Plausible Naive Bayes Classifier Using PDE

Description

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).

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Version

Install

install.packages('PDEnaiveBayes')

Monthly Downloads

384

Version

0.2.8

License

GPL-3

Maintainer

Michael Thrun

Last Published

November 17th, 2025

Functions in PDEnaiveBayes (0.2.8)

Train_naiveBayes_multicore

Train_naiveBayes_multicore
Train_naiveBayes

Train_naiveBayes
Hepta

Hepta introduced in [Ultsch, 2003]
PDEnaiveBayes-package

tools:::Rd_package_title("PDEnaiveBayes")
GetLikelihoods

GetLikelihoods
Predict_naiveBayes

Predict_naiveBayes
PlotNaiveBayes

PlotNaiveBayes
PlotLikelihoods

PlotLikelihoods
ApplyBayesTheorem4Likelihoods

ApplyBayesTheorem4Likelihoods
PlotLikelihoodFuns

PlotLikelihoodFuns
PlotPosteriors

PlotPosteriors
defineOrEstimateDistribution

defineOrEstimateDistribution
PlotBayesianDecision2D

PlotBayesianDecision2D
fitParameters

fitParameters
getPriors

getPriors
predict.PDEbayes

predict.PDEbayes