OptimModel
2.0-3Perform Nonlinear Regression Using 'optim' as the Optimization Engine
Overview
A wrapper for 'optim' for nonlinear regression problems; see Nocedal J and Write S (2006, ISBN: 978-0387-30303-1). Performs ordinary least squares (OLS), iterative re-weighted least squares (IRWLS), and maximum likelihood (MLE). Also includes the robust outlier detection (ROUT) algorithm; see Motulsky, H and Brown, R (2006) doi:10.1186/1471-2105-7-123.
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
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 11%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 2.0-3Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 2.0-12024-03-12
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2024-03-12
- Total releases
- 2 / 2 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.0.0
- Download size
- 111 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
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