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Best model selection function

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".