R Observatory: Metrics for naivebayes version 1.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

naivebayes

1.0.0Package record

High Performance Implementation of the Naive Bayes Algorithm

9packages dependsuggested by 9

77Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Michal MajkaCRAN page ↗GitHub ↗Website ↗Issues ↗

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.

Changes in 1.0.0

Major Release: Maturity and Stability:

The package has reached a significant milestone of maturity and stability, leading to the version update to 1.0.0.
Improvement: enhanced print methods.
Improvement: updated documentation.
Improvement: minor internal enhancements.

From inst/NEWS.Rd in the release

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. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

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

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.0

README· In the repository, left out of the releaseVignettesYes · 1 · dynamicNEWSYes · mentions 1.0.0Citation fileYes · computed when R runs itWebsiteYes · pkgdown

Help pages: 22includes a package overview page
Examples that run: 100%21 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 18%

Vignettes (1)

An Introduction to Naivebayes PDF

How these are measured

Downloads

77K

CRAN downloads in the past year

Rank #1,687 · ~211/day · ~6.4K/mo

Releases R versions

Daily download trend is not available in this view yet.

4.5K30 days

12.7K90 days

77K1 year

Compare downloads with other packages →

Also on330 r2u7 autocran1.6K conda_forge117 c2d4u

How downloads are counted

Repository

majkamichal/naivebayes ↗Account: majkamichal

37Stars

6Forks

0Open issues

1Open PRs

2Releases

267Commits

1Commit identities

rclassification-modelnaive-bayesr-packagedatasciencemachine-learning

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

Responsiveness

How these are sampled

PRs merged (all time): 33%
Median days to close, 50 most recently updated closed issues: 25
Median days to close, 50 most recently updated closed PRs: 33

Stars over time

2024-09-05 · 362026-07-07 · 37

How these are measured

PracticesBeta

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

Checks run against github.com/majkamichal/naivebayes on 2026-10-11.

Docs source (3)

README.Rmdpkgdown

GitHub Pages site last deployed 2025-11-21

pkgdown site last built 2025-11-21

CRAN release process (1)

CRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

1 external dependency (excludes base and recommended)

Installing naivebayes adds no packages beyond those that come with R.

Depends (0)

none

Imports (0)

none

LinkingTo (0)

none

Suggests (2)

knitrMatrix

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

9direct

0indirect

Imports 9

Suggested by 9

Show all 18 packagesHide all 18 packages

Depends, Imports or LinkingTo, most downloaded first

promor ModTools funcml MLFS nproc AnimalSequences quickSentiment kronxNBC mimar

Suggests, most downloaded first

discrim tidypredict quanteda.textmodels StatMatch orbital FRESA.CAD caretSDM ml Usmile

How these are counted

Code & Tests

People & History

People (1)

Michal Majka

Author, Maintainer since 0.9.0 (2017)

Releases (9)

Pick two releases to compare their code metrics.

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
record
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
record
2020-03-08 · diff ↗
0.9.6
record
2019-06-03 · diff ↗ ·
added 8 exports
bernoulli_naive_bayes, gaussian_naive_bayes, multinomial_naive_bayes, nonparametric_naive_bayes, poisson_naive_bayes, get_cond_dist, %class%, %prob%
R
R 3.6.0 released · 2019-04-26
0.9.5
record
2019-03-17 · diff ↗
0.9.4
record
2019-03-10 · diff ↗
0.9.3
record
2019-01-07 · diff ↗
R
R 3.5.0 released · 2018-04-23
0.9.2
record
2018-01-03 · diff ↗

Show 4 earlier eventsHide 4 earlier events

R
R 3.4.0 released · 2017-04-21
0.9.1
record
2017-01-15 · diff ↗
0.9.0
record
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

Appears in task views

Machine Learning & Statistical Learning Missing Data

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("naivebayes")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 v2026-10-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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