MuMIn (version 1.42.1)

bootWeights: Bootstrap model weights

Description

Computes model weights using bootstrap.

Usage

bootWeights(object, ..., R, rank = c("AICc", "AIC", "BIC"))

Arguments

object, …

two or more fitted glm objects, or a list of such, or an "averaging" object.

R

the number of replicates.

rank

a character string, specifying the information criterion to use for model ranking. Defaults to AICc.

Value

The function returns a numeric vector of model weights.

Details

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.

See Also

Weights, model.avg

Other model.weights: BGWeights, cos2Weights, jackknifeWeights, stackingWeights

Examples

# NOT RUN {
# 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)

# }