MuMIn (version 0.13.3)

MuMIn-package: Multi-model inference

Description

The package MuMIn contains functions for (automated) model selection and model averaging based on information criteria (AIC alike).

encoding

utf-8

Details

User level functions include: [object Object],[object Object],[object Object],[object Object]

References

Burnham, K. P. and Anderson, D. R (2002) Model selection and multimodel inference: a practical information-theoretic approach. 2nd ed.

See Also

AIC, step

Examples

fm1 <- lm(Fertility ~ . , data = swiss)

dd <- dredge(fm1)
top.models.1 <- get.models(dd, subset = delta < 4)
model.avg(top.models.1) # get averaged coefficients

top.models.2 <- get.models(dd, cumsum(weight) <= .95)
model.avg(top.models.2) # get averaged coefficients

# Mixed models:
# modified example(lme)
data(Orthodont, package="nlme")
require(nlme)
fm2 <- lme(distance ~ age + Sex, data = Orthodont, random = ~ 1 | Subject,
	method="ML")
dredge(fm2)