Description Usage Arguments Details Value Author(s) See Also Examples

Computes model weights using bootstrap.

1 | ```
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`

1 2 3 4 5 6 7 8 9 10 11 | ```
# 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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