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frair : an R package for fitting and comparing consumer functional responses
Author(s) -
Pritchard Daniel W.,
Paterson Rachel A.,
Bovy Helene C.,
BarriosO'Neill Daniel
Publication year - 2017
Publication title -
methods in ecology and evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.425
H-Index - 105
ISSN - 2041-210X
DOI - 10.1111/2041-210x.12784
Subject(s) - functional response , r package , selection (genetic algorithm) , computer science , functional data analysis , model selection , resource (disambiguation) , machine learning , data mining , ecology , predation , biology , predator , computer network , computational science
Summary Consumer‐resource interactions (i.e. the functional response) underpin decades of ecological advancements. However, selecting, fitting and comparing functional response models using appropriate methods remains a non‐trivial endeavour. The R package frair provides tools for selecting and differentiating various forms of consumer functional response models, a consistent interface for fitting and visualising response curves, and a selection of statistically robust methods for comparing fitted parameters. Using real data from crustacean predator‐prey systems, we demonstrate the utility of frair , highlighting best practice and common analytical mistakes.