ROptimus
3.0.0A Parallel General-Purpose Adaptive Optimisation Engine
Overview
A general-purpose optimisation engine that supports i) Monte Carlo optimisation with Metropolis criterion [Metropolis et al. (1953) doi:10.1063/1.1699114, Hastings (1970) doi:10.1093/biomet/57.1.97] and Acceptance Ratio Simulated Annealing [Kirkpatrick et al. (1983) doi:10.1126/science.220.4598.671, Černý (1985) doi:10.1007/BF00940812] on multiple cores, and ii) Acceptance Ratio Replica Exchange Monte Carlo Optimisation. In each case, the system pseudo-temperature is dynamically adjusted such that the observed acceptance ratio is kept near to the desired (fixed or changing) acceptance ratio.
Install
Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
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Repository practices
Checks run against github.com/sahakyanlab/roptimus on 2026-07-19.
No development-tooling practices detected in the upstream repository.
Dependencies
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Code & Tests
Datasets
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 3.0.0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2023-01-10
- Total releases
- 1 / 3 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.1.0
- Bundled data
- 4.0 KB / 4 files
- Download size
- 2.9 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet