Linear, Quadratic, and Rational Optimization
Overview
Solver for linear, quadratic, and rational programs with linear, quadratic, and rational constraints. A unified interface to different R packages is provided. Optimization problems are transformed into equivalent formulations and solved by the respective package. For example, quadratic programming problems with linear, quadratic and rational constraints can be solved by augmented Lagrangian minimization using package 'alabama', or by sequential quadratic programming using solver 'slsqp'. Alternatively, they can be reformulated as optimization problems with second order cone constraints and solved with package 'cccp'.
Install
Health
- OK13 OK2026-08-05
- NOTE10 OK, 4 NOTE2026-03-10
Documentation
- Help pages
- 18includes a package overview page
- Examples that run
- 100%10 run in a plain check
- Exported functions with examples
- 77%
- Documented parameters
- 93%
- Return-value docs
- 100%
- Help pages citing references
- 6%
Downloads
Dependencies
Installing optiSolve adds 43 packages (25 with compiled code, 44 MB of source tarballs). Heaviest: stringi 11 MB, bslib 5.6 MB, rgl 4.0 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- 1.0.1Latest
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 1.02021-10-13 · diff ↗
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.1.22020-03-10 · diff ↗
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 0.12017-07-28
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2017-07-28
- Total releases
- 4 / 9 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.4
- Bundled data
- 613 KB / 4 files
- Download size
- 645 KB
Cite
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