optimg
0.1.2General-Purpose Gradient-Based Optimization
Overview
Provides general purpose tools for helping users to implement steepest gradient descent methods for function optimization; for details see Ruder (2016) arXiv:1609.04747v2. Currently, the Steepest 2-Groups Gradient Descent and the Adaptive Moment Estimation (Adam) are the methods implemented. Other methods will be implemented in the future.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Repository
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Repository practices
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/vthorrf/optimg on 2026-08-09.
Dependencies
Code & Tests
People & History
Author records are not tracked yet for this package.
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.2Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2021-10-07
- Total releases
- 1 / 5 yrs
- License
- GPL-3 OSI
- Download size
- 4.9 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("optimg")Cite the R Observatory
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