Bootstrap model weights
Computes model weights using bootstrap.
bootWeights(object, ..., R, rank = c("AICc", "AIC", "BIC"))object, ... |
two or more fitted |
R |
the number of replicates. |
rank |
a character string, specifying the information criterion to use
for model ranking. Defaults to |
The models are fitted repeatedly to a resampled data set and ranked using AIC-type criterion. The model weights represent the proportion of replicates when a model has the lowest IC value.
The function returns a numeric vector of model weights.
Kamil Bartoń, Carsten Dormann
Other model.weights: BGWeights,
cos2Weights,
jackknifeWeights,
stackingWeights
# To speed up the bootstrap, use 'x = TRUE' so that model matrix is included # in the returned object fm <- glm(Prop ~ mortality + dose, family = binomial, data = Beetle, na.action = na.fail, x = TRUE) fml <- lapply(dredge(fm, eval = FALSE), eval) am <- model.avg(fml) Weights(am) <- bootWeights(am, data = Beetle, R = 25) summary(am)
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