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Table 1 The ten best models according to Akaike’s Information Criteria (AIC)

From: Coevolution of group-living and aposematism in caterpillars: warning colouration may facilitate the evolution from group-living to solitary habits

  K logLik AIC \(\Delta\)AIC LikRatio AkaikeWeight
n1 7 \(-\)362.705 739.410 0.000 1.000 0.201
eq24 7 \(-\)362.754 739.508 0.099 0.952 0.192
eq13 7 \(-\)362.765 739.530 0.120 0.942 0.190
eq18 6 \(-\)364.216 740.431 1.022 0.600 0.121
General 8 \(-\)362.705 741.410 2.000 0.368 0.074
eq38 7 \(-\)363.804 741.609 2.199 0.333 0.067
eq16 7 \(-\)364.034 742.068 2.659 0.265 0.053
n8 7 \(-\)364.216 742.431 3.022 0.221 0.044
eq47 7 \(-\)364.674 743.347 3.938 0.140 0.028
eq57 7 \(-\)365.874 745.748 6.338 0.042 0.009
  1. \(\Delta\)AIC= difference in AIC between each model and the best model (AIC-AIC\(_{min}\)); LikRatio = likelihood ratio between each model and the best model (exp((AIC\(_{min}\)-AIC)/2)), sometimes called the ’evidence ratio’ and gives the strength of evidence for each model as a proportion of the best model; AkaikeWeight = model probabilities (probablility of each model being the best model in the set) [31, 32]