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

Versions across snapshots

VersionRepositoryFileSize
0.2.9 rolling linux/jammy R-4.5 PDEnaiveBayes_0.2.9.tar.gz 639.8 KiB
0.2.9 rolling linux/noble R-4.5 PDEnaiveBayes_0.2.9.tar.gz 640.8 KiB
0.2.9 rolling source/ R- PDEnaiveBayes_0.2.9.tar.gz 542.6 KiB
0.2.9 latest linux/jammy R-4.5 PDEnaiveBayes_0.2.9.tar.gz 639.8 KiB
0.2.9 latest linux/noble R-4.5 PDEnaiveBayes_0.2.9.tar.gz 640.8 KiB
0.2.9 latest source/ R- PDEnaiveBayes_0.2.9.tar.gz 542.6 KiB
0.2.9 2026-04-26 source/ R- PDEnaiveBayes_0.2.9.tar.gz 542.6 KiB
0.2.9 2026-04-23 source/ R- PDEnaiveBayes_0.2.9.tar.gz 542.6 KiB
0.2.9 2026-04-09 windows/windows R-4.5 PDEnaiveBayes_0.2.9.zip 959.3 KiB

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