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:
Downloads:
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