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 |
| 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 |
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