A data dredge function to select the best models given a global model (i.e. x ~ a + b + c). The function works through an exhaustive combination of parameters and outputs a dataframe where models are ranked by model selection methods, such as AIC or WAic.
Output includes:
- log-likelihood "LL";
- number of parameters "k";
- Akaike Information Criterion "AICc";
- the difference between the two AIC values being compared "∆AIc";
- Watanabe Akaike Information Criterion "WAic".