R Observatory: Metrics for ABCoptim version 0.15.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ABCoptim

0.15.0Package record

Implementation of Artificial Bee Colony (ABC) Optimization

0packages depend

8.4Kdownloads / year

97.6%test coverage

13/13flavors OK

Overview

About

Maintained by George Vega YonCRAN page ↗GitHub ↗Website ↗

An implementation of Karaboga (2005) Artificial Bee Colony Optimization algorithm http://mf.erciyes.edu.tr/abc/pub/tr06_2005.pdf. This (working) version is a Work-in-progress, which is why it has been implemented using pure R code. This was developed upon the basic version programmed in C and distributed at the algorithm's official website.

Changes in 0.15.0

abc_cpp now checks the domain of the function.
New arguments parscale and fnscale added (see stats::optim)
New print and plot method for abc_answer class object.

From NEWS.md in the release

Install

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

install.packages("ABCoptim", 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("gvegayon/ABCoptim")

Development version from gvegayon/ABCoptim. 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-abcoptim

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-ABCoptim

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-ABCoptim

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: 2.5 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-04-22
ERROR13 OK, 1 ERROR2026-04-18
OK14 OK2026-03-13

Show 2 earlier changesHide 2 earlier changes

ERROR13 OK, 1 ERROR2026-03-12
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.15.0

README· In the repository, left out of the releaseVignettesNoNEWSYes · 100% structured · mentions 0.15.0Citation fileYes · computed when R runs itWebsiteYes

Help pages: 2includes a package overview page
Examples that run: 50%1 run in a plain check · 1 never run
Exported functions with examples: 100%
Documented parameters: 92%
Return-value docs: 100%
Help pages citing references: 100%

Also includes 1 demo script (run with demo())

How these are measured

Downloads

8.4K

CRAN downloads in the past year

Rank #4,919 · ~23/day · ~700/mo

Releases R versions

Daily download trend is not available in this view yet.

59730 days

1.6K90 days

8.4K1 year

Compare downloads with other packages →

Also on404 r2u40 autocran135 c2d4u

How downloads are counted

Repository

gvegayon/abcoptim ↗Account: gvegayon

32Stars

18Forks

0Open issues

0Open PRs

2Releases

64Commits

2Commit identities

optimizationartificial-bee-colonystochastic-optimizersr-programmingrrcpp

64 commits · Last activity 2026-10-07 · 0% stars, 30d · Default branch at 0.16.0, ahead of CRAN 0.15.0 (checked 2026-10-11)

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 0
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2024-12-05 · 302026-07-07 · 32

How these are measured

PracticesBeta

14 development-tooling and community-health practices detected across 7 families in the upstream repository

Checks run against github.com/gvegayon/abcoptim on 2026-10-11.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (3)

Code of conductFunding

Funding links: GitHub Sponsors

The repository owner accepts GitHub Sponsors

Docs source (4)

README.qmdpkgdown

GitHub Pages site last deployed 2026-10-07 · The repository has a site deploy workflow

Coverage (1)

Coverage reporting (Codecov)

Show all practicesHide 3 practices

Reproducibility and dev environment (2)

MakefileDev Container

Research and citation (1)

CITATION.cff

Lint, format, editor (1)

RStudio project

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

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen 2026-08-06
Pull request it wrote: opened by a project member
Commits: at least 2 crediting it in the message
Codexfirst seen 2026-08-15
Commits: at least 1 crediting it in the message
GitHub Copilotfirst seen 2026-09-08
Seen in the repository: .github/workflows/copilot-setup-steps.yml
Pull request: opened by its own account
Commits: 3 by its own account · at least 3 crediting it in the message

Shared conventions any agent may read, so they name no particular tool.

Seen in the repository: AGENTS.md

Models named in its commits

Claude Opus 51 commit · Aug 2026
Claude Opus 5.51 commit · Oct 2026

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Installing ABCoptim adds 1 package (1 with compiled code, 1.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB.

Depends (0)

none

Imports (4)

Rcppgraphicsstatsutils

LinkingTo (1)

Rcpp

Suggests (2)

testthat covr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (2)

George Vega Yon

Author, Maintainer since 0.13.10 (2013)

Enyelbert Muñoz

Contributor · added in 0.13.11

Listed in earlier versions (1)

Enyelbert Munoz

no longer listed · 0.13.10

Releases (4)

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
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
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
0.15.0Latest
record
2017-11-06 · current release · diff ↗
R
R 3.4.0 released · 2017-04-21
0.14.0
record
2016-11-17 · diff ↗ ·
added 1 export
abc_cpp
R
R 3.3.0 released · 2016-05-03
R
R 3.2.0 released · 2015-04-16
R
R 3.1.0 released · 2014-04-10
0.13.11
record
2013-11-06 · diff ↗

Show 2 earlier eventsHide 2 earlier events

0.13.10
record
2013-11-05
R
R 3.0.0 released · 2013-04-03

Package metadata

First published: 2013-11-05
Total releases: 4 / 13 yrs
License: MIT + file LICENSE OSI · relicensed from GPL (>= 3) in 0.15.0
Download size: 13 KB

Appears in task views

Optimization and Mathematical Programming

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ABCoptim")

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

The repository also keeps a CITATION.cff.

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 ABCoptim version 0.15.0 [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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