weight_of_evidence {island} | R Documentation |
Weight of evidence
Description
weight_of_evidence
calculates the weight of evidence of a set of
nested models.
Usage
weight_of_evidence(data)
Arguments
data |
A dataframe with the names of the models in the first column and their AIC values in the second column. |
Details
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 * \Delta_i) / \Sigma exp( - 1/2 * \Delta_r)
r = 1, R
Value
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.
References
K. P. Burnham, D. R. Anderson. Model selection and multimodel inference: a practical information-theoretic approach (New York:Springer, ed. 2, 2002).
See Also
Examples
models <- c("Best_3k", "Best_4k", "Best_5k", "Best_6k", "Best_7k",
"Best_8k", "Best_9k")
aks <- c(2977.852, 2968.568, 2957.384, 2952.618,
2949.128, 2947.038, 2943.480)
weight_of_evidence(cbind(models, aks))
[Package island version 0.2.10 Index]