Table 3.
Model | k | LL | AICc | dAICc | wAICc |
|
|
---|---|---|---|---|---|---|---|
(a) | |||||||
m1. F60 ~ FFI + NBI + DUR + (1|TRE) | 5 | −30 | 72 | 0.0 | 0.41 | 0.81 | |
m2. F60 ~ NBI + DUR + (1| TRE) | 4 | −32 | 73 | 1.3 | 0.21 | 0.87 | |
m3. F60 ~ DUR + (1| TRE) | 3 | −34 | 75 | 2.6 | 0.11 | 0.36 | |
(b) | |||||||
m.1 F60 ~ NBD + DUR + (1| TRE) | 4 | −32 | 74 | 0.0 | 0.27 | 0.87 | |
m.2 F60 ~ FFD + NBD + DUR + (1| TRE) | 5 | −31 | 74 | 0.1 | 0.25 | 0.80 | |
m.3 F60 ~ DUR + (1| TRE) | 3 | −34 | 75 | 0.9 | 0.17 | 0.56 |
k, number of parameters; LL, maximum log‐likelihood; dAICc, difference in AICc for each model from the most parsimonious model; wAICc, AICc weight; , marginal R 2 according to Nakagawa and Schielzeth (2013).