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metANN

0.1.0

Metaheuristic and Gradient-Based Optimization for Neural Network Training and Continuous Problems

0packages depend
778downloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Burak DilberFirst published 2026-05-161 releasesCRAN page ↗GitHub ↗

Provides tools for general-purpose continuous optimization and feed-forward artificial neural network training using metaheuristic and gradient-based optimization algorithms. The package supports benchmark function optimization, regression, binary classification, and multi-class classification with multilayer perceptrons. The package implements several optimization methods, including particle swarm optimization Kennedy and Eberhart (1995) doi:10.1109/ICNN.1995.488968, differential evolution Storn and Price (1997) doi:10.1023/A:1008202821328, grey wolf optimizer Mirjalili et al. (2014) doi:10.1016/j.advengsoft.2013.12.007, secretary bird optimization Fu et al. (2024) doi:10.1007/s10462-024-10729-y, and Adam Kingma and Ba (2015) doi:10.48550/arXiv.1412.6980.

Install

Health

CRAN checks
13OK
Slowest check: 1.5 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
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
  • OK2026-05-16
    6 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 1,196 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
17%

Downloads

778
CRAN downloads in the past year
Rank #13,150 · ~2/day · ~65/mo
Daily download trend is not available in this view yet.
7630 days
77890 days
7781 year
Compare downloads with other packages →
Also on19 r2u

Repository

Repository
0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2026-05-11

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/burakdilber/metann on 2026-08-09.

CRAN release process (1)
cran-comments.md
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer, Copyright holder
Authors (2)
Author, Maintainer, Copyright holder
Author, Thesis advisor
Copyright holders (1)
Author, Maintainer, Copyright holder
Package Timeline

1 release. R releases are shown for context.

  • 0.1.0Latest
    2026-05-16 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-05-16
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Download size
not tracked yet
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("metANN")
Dilber, B., & Özdemir, A. F. (2026). metANN: Metaheuristic and Gradient-Based Optimization for Neural Network Training and Continuous Problems (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.metANN

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 metANN version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-13. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-13, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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