blmeco (version 1.1)

AICweights: Calculates AICc-weights for each model of a set of models

Description

Calculates AICc-weights for each model of a set of models

Usage

AICweights(models)

Arguments

models

a vector of characters with the model names

Value

a vector of model weights

Details

The AICc for small sample sizes is used (can also be applied for large samples)

References

Burnham, KP and Anderson DR (2002) Model selection and multimodel inference, a practical information-theoretic approach. Springer, New York

Examples

# NOT RUN {
data(periparusater)
dat<-periparusater
# preparation of the data
dat$age[dat$age==0] <- NA  # replace 0 with NA
dat$age[dat$age==5] <- 4   # replace "after hatching year" with "non-hatching year"
dat$age <- factor(dat$age) # 3 = hatching year, 4 = non hatching year
dat$sex[dat$sex==0] <- NA  # replace 0 by missing values
dat$sex <- factor(dat$sex) # 1 = males, 2 = females
# retain only those data where sex and age is not missing
dat <- dat[complete.cases(dat$sex, dat$age),] 


mod1 <- lm(wing~sex+age, data=dat)
mod2 <- lm(wing~sex*age, data=dat)
AICweights(c("mod1", "mod2"))


# }