2017
DOI: 10.1111/2041-210x.12784
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frair: an R package for fitting and comparing consumer functional responses

Abstract: Summary1. 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. 2. 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 paramet… Show more

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Cited by 203 publications
(231 citation statements)
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“…Where results were ambiguous, fits for different FR types were compared using Akaike's Information Criterion (AIC) (Pritchard et al 2017). Based on these analyses, all FRs were modelled as Type II curves.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Where results were ambiguous, fits for different FR types were compared using Akaike's Information Criterion (AIC) (Pritchard et al 2017). Based on these analyses, all FRs were modelled as Type II curves.…”
Section: Methodsmentioning
confidence: 99%
“…Based on these analyses, all FRs were modelled as Type II curves. Maximum likelihood model fitting and parameter estimation were performed within the R package frair (frair::frair_fit; Pritchard et al 2017) and used Rogers' random predator equation (Eq. 2; Rogers 1972) which modifies Holling's disk equation (Eq.…”
Section: Methodsmentioning
confidence: 99%
“…The R package 'frair' (Pritchard 2014;Pritchard et al 2017) was used to model the functional response Type of Scyliorhinus canicula preying on Echinogammarus marinus. Functional response Type (I, II, III) was determined using a logistic regression of the proportion of prey consumed against prey density.…”
Section: Statistical Analysesmentioning
confidence: 99%
“…Therefore, when non-significant terms were encountered, a scatterplot with locally weighted scatterplot smoothing (LOWESS) lines, with a smoothing factor of 9/10, were fitted to assess the direction of proportional consumption. This was used to assess the shape of proportional consumption of prey at different prey densities (Pritchard et al 2017).…”
Section: Statistical Analysesmentioning
confidence: 99%
“…Differences in a and h between the invader and native species can then be tested for their statistical significance (Dick et al, , 2017aBarrios-O'Neill et al, 2016;Guo et al, 2017;Laverty et al, 2017). This testing can be completed in specific R packages, such as 'Functional responses in R' (Frair; Pritchard, 2014;Pritchard, Paterson, Bovy & Barrios-O'Neill, 2017). ' The utility of the approach for testing high impact invaders was revealed by Alexander et al (2014), who compared FRs of the largemouth bass Micropterus salmoides, a globally invasive piscivorous fish with reported impacts on native prey communities (e.g.…”
Section: Comparative Behavioural Functional Responsesmentioning
confidence: 99%