R Observatory: Metrics for naivebayes version 1.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

naivebayes

1.0.0

High Performance Implementation of the Naive Bayes Algorithm

16packages depend

93.7Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Michal MajkaFirst published 2017-01-059 releasesCRAN page ↗GitHub ↗

In this implementation of the Naive Bayes classifier following class conditional distributions are available: 'Bernoulli', 'Categorical', 'Gaussian', 'Poisson', 'Multinomial' and non-parametric representation of the class conditional density estimated via Kernel Density Estimation. Implemented classifiers handle missing data and can take advantage of sparse data.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("naivebayes", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("majkamichal/naivebayes")

Development version from majkamichal/naivebayes. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-naivebayes

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-naivebayes

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-naivebayes

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 4.2 min · r-release-macos-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

80%

Documentation · exports

0

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
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 18%

Downloads

93.7K

CRAN downloads in the past year

Rank #1,645 · ~257/day · ~7.8K/mo

Releases R versions

Daily download trend is not available in this view yet.

4.5K30 days

14.5K90 days

93.7K1 year

Compare downloads with other packages →

Also on281 r2u24 autocran1.7K conda_forge54 c2d4u

Repository

GitHub ↗ majkamichal/naivebayes

37Stars

5Forks

0Open issues

0Open PRs

2Releases

267Commits

1Contributors

rclassification-modelnaive-bayesr-packagedatasciencemachine-learning

License GPL-2.0 · 267 commits · Last activity 2025-11-21 · 0% stars, 30d

Stars over time

2024-09-05 · 362026-07-07 · 37

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/majkamichal/naivebayes on 2026-08-16.

CRAN release process (1)

CRAN-SUBMISSION

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

1 external dependency (excludes base and recommended)

Depends (0)

none

Imports (0)

none

LinkingTo (0)

none

Suggests (2)

knitrMatrix

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

16direct

0indirect

AnimalSequences MLFS ModTools funcml kronxNBC mimar nproc promor quickSentiment FRESA.CAD StatMatch Usmile caretSDM discrim ml quanteda.textmodels

Code & Tests

People & History

People (1)

Maintainer (1)

Michal Majka

Author, Maintainer

Authors (1)

Michal Majka

Author, Maintainer

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
1.0.0Latest
2024-03-16 · current release · diff ↗
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
0.9.7
2020-03-08 · diff ↗
0.9.6
2019-06-03 · diff ↗
R
R 3.6.0 released · 2019-04-26
0.9.5
2019-03-17 · diff ↗
0.9.4
2019-03-10 · diff ↗
0.9.3
2019-01-07 · diff ↗
R
R 3.5.0 released · 2018-04-23
0.9.2
2018-01-03 · diff ↗

Show 4 earlier events

R
R 3.4.0 released · 2017-04-21
0.9.1
2017-01-15 · diff ↗
0.9.0
2017-01-05
R
R 3.3.0 released · 2016-05-03

Package metadata

First published: 2017-01-05
Total releases: 9 / 9 yrs
License: GPL-2 OSI
Download size: 749 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Machine Learning & Statistical Learning Missing Data

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("naivebayes")

Format

Majka, M. (2024). naivebayes: High Performance Implementation of the Naive Bayes Algorithm (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.naivebayes

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for naivebayes version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-08-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →