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. 2017 Jul 31;5:e3632. doi: 10.7717/peerj.3632

Table 6. Candidate generalized linear model results.

Model name, number of model parameters (K), Akaike’s Information Criterion adjusted for small sample size (AICc), difference in AICc (ΔAICc), Akaike cumulative weights (wc), and log liklihood (LL) for models from a suite of variables modeled with a generalized linear model analysis for 2 primary burrowing crayfish species, Fallicambarus harpi (n = 80 transects) and Procambarus reimeri (n = 80 transects) in Arkansas. See Tables 2 and 3 for a description of each model and the variables included.

Model K AICc ΔAICc wc LL
Fallicambarus harpi
Mod 5a 6 65.5 0 0.69 −26.19
Mod 1a 11 68.9 3.35 0.82 −21.50
Mod 6 7 69.3 3.78 0.92 −26.88
Mod 8a 6 71.1 5.6 0.96 −29
Mod 7a 5 71.9 6.4 0.99 −30.6
Mod 2a 6 74.3 8.8 1 −30.6
Mod 3 6 77.1 11.5 1 −32.0
Mod 4 6 80.8 15.3 1 −33.8
Procambarus reimeri
Mod 7a 3 137.7 0 0.40 −65.68
Mod 4 4 139.3 1.67 0.57 −65.41
Mod 2a 4 139.8 2.12 0.71 −65.63
Mod 5a 4 139.8 2.17 0.85 −65.66
Mod 8a 4 139.9 2.22 0.98 −65.68
Mod 3 4 144.2 6.56 1 −67.85
Mod 6 5 145.5 7.84 1 −67.35
Mod 1a 9 150.5 12.86 1 −64.99

Notes.

a

Represent inclusion of ROR parameter (mxnt).