Table 1 Retained GLMMs for predicting mass and mass change proxies of short-term fitness, and the modulus of the deviance from the sample mean for each of these proxies.
From: Reactive stress-coping styles show more variable reproductive expenditure and fitness outcomes
Response variable | Model structure | df | AICc | ΔAIC | Weight |
|---|---|---|---|---|---|
MPPM | Birthdate | 4 | 210.2 | 0 | 0.287 |
Null | 3 | 215.1 | 4.89 | 0.025 | |
MDML | Year + birth date + MPPM | 9 | 238.5 | 0 | 0.262 |
Year + MPPM | 8 | 239.2 | 0.66 | 0.188 | |
Null | 3 | 274.9 | 36.38 | 0 | |
PDMG | Year + birth date + MPPM | 9 | 252 | 0 | 0.418 |
Year + MPPM | 8 | 254.1 | 2.08 | 0.147 | |
Null | 3 | 274.6 | 22.58 | 0 | |
MTE | Null | 3 | 277.6 | 0 | 0.425 |
MPPM DEVIANCE | Birth date + HRV | 5 | 235.2 | 0 | 0.329 |
Birth date | 4 | 236.3 | 1.14 | 0.186 | |
Null | 3 | 238.5 | 3.33 | 0.062 | |
MDML DEVIANCE | Birth date + HRV | 5 | 252.6 | 0 | 0.315 |
Birth date | 4 | 256.6 | 4.02 | 0.042 | |
Null | 3 | 261.7 | 9.03 | 0.003 | |
PDMG DEVIANCE | Birth date + HRV | 5 | 265.5 | 0 | 0.389 |
Birth date | 4 | 268.2 | 2.65 | 0.103 | |
Null | 3 | 274.2 | 8.67 | 0.005 | |
MTE DEVIANCE | Null | 3 | 271.4 | 0 | 0.224 |
