A Toolbox for Nonlinear Regression inR: The Packagenlstools
Abstract
Nonlinear regression models are applied in a broad variety of scientific fields. Various R functions are already dedicated to fitting such models, among which the function nls() has a prominent position. Unlike linear regression fitting of nonlinear models relies on non-trivial assumptions and therefore users are required to carefully ensure and validate the entire modeling. Parameter estimation is carried out using some variant of the least-...
Paper Details
Title
A Toolbox for Nonlinear Regression inR: The Packagenlstools
Published Date
Jan 1, 2015
Volume
66
Issue
5
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