Summary of model averaged linear mixed models
Function to generate a summary of the results of the model averaging process.
summaryMA(object, randeff = FALSE)
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. |
Outputs a summary of the model averaged random and fixed effects, as well as the calculated weights of the individual candidate models.
Benjamin Saefken & Rene-Marcel Kruse
Greven, S. and Kneib T. (2010) On the behaviour of marginal and conditional AIC in linear mixed models. Biometrika 97(4), 773-789.
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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.