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- Title
Function minimization and nonlinear least squares in R.
- Authors
Nash, John C.
- Abstract
This review will look at function minimization and nonlinear least squares, possibly bounds constrained, using R. These tools derive from the more general context of numerical optimization and mathematical programming. How R developers have tried to make the application of such tools easier for users not familiar with optimization is highlighted. Some limitations of methods and their implementations are mentioned to provide perspective. This article is categorized under:Statistical Models > Nonlinear ModelsAlgorithms and Computational Methods > Numerical Methods
- Subjects
NONLINEAR functions; MATHEMATICAL programming; MATHEMATICAL optimization
- Publication
WIREs: Computational Statistics, 2022, Vol 14, Issue 6, p1
- ISSN
1939-5108
- Publication type
Article
- DOI
10.1002/wics.1580