Table 1.
ID | F | T | F:T | Random | Df | logLik | AIC | Δ AIC | Weight 1 | Weight 2 |
---|---|---|---|---|---|---|---|---|---|---|
1 | + | + | + | p | 5 | −313.4 | 636.8 | 0.00 | 0.622 | 0.62 |
2 | + | + | + | p + m | 6 | −313.4 | 638.9 | 2.04 | 0.224 | 0.84 |
3 | + | + | + | p + m + p:m | 7 | −313.0 | 640.3 | 3.44 | 0.111 | 0.95 |
The Bd prevalence was modelled as a generalized linear mixed effects model with binomial errors. Of the 20 models in the set, only the top 3 models are shown for which the cumulative support (Weight 2) ≥95.0%. Shown for each model are: the model ID (ID), the fixed effects structure (F = fungicide treatment, T = time, and F:T = interaction), the random effects structure (Random; p = pond identity, m = month identity, p:m = interaction), the model degrees of freedom (Df), the log-likelihood (logLik), the Akaike information criterion (AIC), the difference in the AIC value from the top model (Δ AIC), the model weight (Weight 1), and the cumulative weight (Weight 2). Table S2 shows the results from the full model selection.