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arcopt

0.3.0

Adaptive Regularization using Cubics for Optimization

0packages depend
1.3Kdownloads / year
80.0%test coverage
13/13checks pass

Overview

About
Maintained by Marcus WaldmanFirst published 2026-04-291 releasesCRAN page ↗GitHub ↗

Implements cubic regularization methods (ARC) for local optimization problems common in statistics and applied research. Provides robust handling of ill-conditioned, nonconvex, and indefinite Hessian problems with automatic saddle point escape. Supports box constraints; linear equality constraints are planned for a future release.

Install

Health

CRAN checks
13OK
Slowest check: 3.0 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 1.06
80.0%
Coverage · measured lines
100%
Documentation · exports
2
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
  • OK2026-04-30
    7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 846 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
0%
Documented parameters
78%
Return-value docs
100%
References docs
13%

Downloads

1.3K
CRAN downloads in the past year
Rank #9,835 · ~4/day · ~110/mo
Daily download trend is not available in this view yet.
20230 days
96790 days
1.3K1 year
Compare downloads with other packages →
Also on108 r2u38 autocran

Repository

Repository
0Stars
0Forks
1Open issues
0Open PRs
0Releases
Last activity 2026-04-28

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/marcus-waldman/arcopt on 2026-08-16.

Continuous integration (1)
GitHub Actions
CRAN release process (1)
cran-comments.md
Lint, format, editor (2)
lintrRStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Development tooling

AI-assisted toolingBeta

Uses AI-assisted development tooling (declared in repo)

Earliest detected marker: claude on 2026-01-03

claude

Most recent: claude on 2026-01-03

Evidence
  • claude: on 2026-01-03 · evidence B, D
How this is detected·Detection ruleset v2 (updated 2026-07-29)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
Imports (2)
Rcpputils
LinkingTo (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • 0.3.0Latest
    2026-04-29 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-04-29
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1.0
Download size
110 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("arcopt")
Waldman, M. (2026). arcopt: Adaptive Regularization using Cubics for Optimization (Version 0.3.0) [Computer software]. https://doi.org/10.32614/CRAN.package.arcopt

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 arcopt version 0.3.0 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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