FlexParamCurve: R package for flexible fitting of nonlinear parametric curves

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

Research output: Contribution to journalArticlepeer-review

34 Scopus citations


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
Issue number6
StatePublished - Dec 2012

All Science Journal Classification (ASJC) codes

  • Ecology, Evolution, Behavior and Systematics
  • Ecological Modeling


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