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PDEnaiveBayes  

Plausible Naive Bayes Classifier Using PDE
View on CRAN: Click here


Download and install PDEnaiveBayes package within the R console
Install from CRAN:
install.packages("PDEnaiveBayes")

Install from Github:
library("remotes")
install_github("cran/PDEnaiveBayes")

Install by package version:
library("remotes")
install_version("PDEnaiveBayes", "0.2.9")



Attach the package and use:
library("PDEnaiveBayes")
Maintained by
Michael Thrun
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-11-17
Latest Update: 2025-11-17
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).
How to cite:
Michael Thrun (2025). PDEnaiveBayes: Plausible Naive Bayes Classifier Using PDE. R package version 0.2.9, https://cran.r-project.org/web/packages/PDEnaiveBayes. Accessed 10 Jun. 2026.
Previous versions and publish date:
0.2.8 (2025-11-17 10:10)
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Complete documentation for PDEnaiveBayes
Functions, R codes and Examples using the PDEnaiveBayes R package
Full PDEnaiveBayes package functions and examples
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