FlexParamCurve: R package for flexible fitting of nonlinear parametric curves

Stephen A. Oswald, Ian C T Nisbet, Andre Chiaradia, Jennifer Marie Arnold

Research output: Contribution to journalArticle

21 Citations (Scopus)

Abstract

1. Nonlinear, parametric curve-fitting provides a framework for understanding diverse ecological and evolutionary trends (e.g. growth patterns and seasonal cycles). Currently, parametric curve-fitting requires a priori assumptions of curve trajectories, restricting their use for exploratory analyses. Furthermore, use of analytical techniques [nonlinear least-squares (NLS) and nonlinear mixed-effects models] for complex parametric curves requires efficient choice of starting parameters. 2. We illustrate the new R package FlexParamCurve that automates curve selection and provides tools to analyse nonmonotonic curve data in NLS and nonlinear mixed-effects models. Examples include empirical and simulated data sets for the growth of seabird chicks. 3. By automating curve selection and parameterization during curve-fitting, FlexParamCurve extends current possibilities for parametric analysis in ecological and evolutionary studies. Video. Video

Original languageEnglish (US)
Pages (from-to)1073-1077
Number of pages5
JournalMethods in Ecology and Evolution
Volume3
Issue number6
DOIs
StatePublished - Dec 1 2012

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least squares
seabird
seabirds
trajectories
analytical methods
analytical method
parameterization
chicks
trajectory
effect
video
analysis
trend
parameter

All Science Journal Classification (ASJC) codes

  • Ecology, Evolution, Behavior and Systematics
  • Ecological Modeling

Cite this

Oswald, Stephen A. ; Nisbet, Ian C T ; Chiaradia, Andre ; Arnold, Jennifer Marie. / FlexParamCurve : R package for flexible fitting of nonlinear parametric curves. In: Methods in Ecology and Evolution. 2012 ; Vol. 3, No. 6. pp. 1073-1077.
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FlexParamCurve : R package for flexible fitting of nonlinear parametric curves. / Oswald, Stephen A.; Nisbet, Ian C T; Chiaradia, Andre; Arnold, Jennifer Marie.

In: Methods in Ecology and Evolution, Vol. 3, No. 6, 01.12.2012, p. 1073-1077.

Research output: Contribution to journalArticle

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