arcopt
0.3.0Adaptive Regularization using Cubics for Optimization
Overview
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
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-04-307 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 0%
- Documented parameters
- 78%
- Return-value docs
- 100%
- References docs
- 13%
Downloads
Repository
Repository practices
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.
Development tooling
Uses AI-assisted development tooling (declared in repo)
Earliest detected marker: claude on 2026-01-03
Most recent: claude on 2026-01-03
- claude: on 2026-01-03 · evidence B, D
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
1 release. R releases are shown for context.
- 0.3.0Latest2026-04-29 · current release
- RR 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")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.
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.