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PDEnaiveBayes

0.4.0

Plausible Naive Bayes Classifier Using PDE

0packages depend
3.8Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Michael ThrunFirst published 2025-11-174 releasesCRAN page ↗GitHub ↗

Provides a nonparametric, multicore-capable plausible naive Bayes classifier based on Pareto density estimation (PDE). It addresses low-evidence cases through a plausibility correction. To enhance the interpretability of the flexible naive Bayes classifier by revealing its posterior structure and feature-wise, class-specific evidence, posterior probabilities can be visualized as class-wise line plots for one-dimensional data or color-coded Voronoi diagrams for pairwise feature projections, and class-conditional PDE likelihoods as overlaid, mirrored density profiles resembling violin plots. Methodological details are provided by Stier, Q., Hoffmann, J. and Thrun, M. C. (2026) "Classifying with the Fine Structure of Distributions: Leveraging Distributional Information for Robust and Plausible Naive Bayes" DOI:10.3390/make8010013. For multicore computations, the implementation applies the general memory-sharing approach described by Thrun, M. C. and Märte, J. (2026) "memshare: Memory Sharing for Multicore Computation in R with an Application to Feature Selection by Mutual Information using PDE" DOI:10.32614/RJ-2025-043.

Install

Health

CRAN checks
13OK
Slowest check: 4.4 min · r-oldrel-macos-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
12
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-04-22
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • ERROR2026-04-18
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 458 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
88%

Downloads

3.8K
CRAN downloads in the past year
Rank #7,604 · ~10/day · ~317/mo
Daily download trend is not available in this view yet.
17130 days
1.1K90 days
3.8K1 year
Compare downloads with other packages →
Also on303 r2u48 autocran

Repository

Repository
0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2026-07-19

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/mthrun/pdebayes on 2026-08-23.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
18 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
Imports (12)
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Copyright holder, Maintainer
Authors (2)
Author, Copyright holder, Maintainer
Author, Reviewer
Contributors (1)
Contractor, Contributor
Copyright holders (1)
Author, Copyright holder, Maintainer
Reviewers (1)
Author, Reviewer
Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 0.4.0Latest
    2026-07-19 · current release · diff ↗
  • 0.3.0
    2026-06-21 · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.9
    2026-01-10 · diff ↗
  • 0.2.8
    2025-11-17
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-11-17
Total releases
4 / 1 yrs
License
GPL-3 OSI
Minimum R
≥ 2.10
Bundled data
5.5 KB / 1 file
Download size
578 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("PDEnaiveBayes")
Thrun, M., Neldner, T. R., & Stier, Q. (2026). PDEnaiveBayes: Plausible Naive Bayes Classifier Using PDE (Version 0.4.0) [Computer software]. https://doi.org/10.32614/CRAN.package.PDEnaiveBayes

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for PDEnaiveBayes version 0.4.0 [Data set]. HJJB, LLC. Data release v2026-08-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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