cAIC4 (version 1.0)

summaryMA: Summary of model averaged linear mixed models

Description

summaryMA is a function used to produce result summaries of the model averaging approach.

Usage

summaryMA(object, randeff = FALSE)

Value

Outputs a summary of the model averaged random and fixed effects, as well as the calculated weights of the individual candidate models.

Arguments

object

A object created by the model averaging function.

randeff

logical. Indicator whether the model averaged random effects should also be part of the output. The default setting is FALSE.

Author

Benjamin Saefken & Rene-Marcel Kruse

References

Greven, S. and Kneib T. (2010) On the behaviour of marginal and conditional AIC in linear mixed models. Biometrika 97(4), 773-789.

See Also

lme4-package, lmer

Examples

data(Orthodont, package = "nlme")
models <- list(
    model1 <- lmer(formula = distance ~ age + Sex + (1 | Subject) + age:Sex,
               data = Orthodont),
    model2 <- lmer(formula = distance ~ age + Sex + (1 | Subject),
               data = Orthodont),
    model3 <- lmer(formula = distance ~ age + (1 | Subject),
                 data = Orthodont),
    model4 <- lmer(formula = distance ~ Sex + (1 | Subject),
                data = Orthodont))
foo <- modelAvg(models = models)
summaryMA(foo)