weight_of_evidence calculates the weight of evidence of a set of
A dataframe with the names of the models in the first column and their AIC values in the second column.
Calculates the weight of evidence in favor of model i being the actual Kullback-Leibler best model given a set of models R for your data.
w_i = exp( - 1/2 * Δ_i) / Σ exp( - 1/2 * Δ_r)
r = 1, R
A dataframe with the names of the analysed models, their AIC differences with respect to the best model and the w_i of each one.
K. P. Burnham, D. R. Anderson. Model selection and multimodel inference: a practical information-theoretic approach (New York:Springer, ed. 2, 2002).
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