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 language | English (US) |
---|---|
Pages (from-to) | 1073-1077 |
Number of pages | 5 |
Journal | Methods in Ecology and Evolution |
Volume | 3 |
Issue number | 6 |
DOIs | |
State | Published - Dec 2012 |
All Science Journal Classification (ASJC) codes
- Ecology, Evolution, Behavior and Systematics
- Ecological Modeling