| fam.link.mer {AICcmodavg} | R Documentation |
Extract Distribution Family and Link Function
Description
This function extracts the distribution family and link function of a
generalized linear mixed model fit with glmer or lmer.
Usage
fam.link.mer(mod)
Arguments
mod |
an object of |
Details
This utility function extracts the information from an mer or
merMod object resulting from glmer or lmer. The
function is called by modavg, modavgEffect,
modavgPred, and predictSE.
Value
fam.link.mer returns a list with the following components:
family |
the family of the distribution of the model. |
link |
the link function of the model. |
supp.link |
a character value indicating whether the link
function used is supported by |
Author(s)
Marc J. Mazerolle
See Also
modavg, modavgPred,
predictSE, glmer, lmer
Examples
##modified example from ?glmer
## Not run:
if(require(lme4)){
##create proportion of incidence
cbpp$prop <- cbpp$incidence/cbpp$size
gm1 <- glmer(prop ~ period + (1 | herd), family = binomial,
weights = size, data = cbpp)
fam.link.mer(gm1)
gm2 <- glmer(prop ~ period + (1 | herd),
family = binomial(link = "cloglog"), weights = size,
data = cbpp)
fam.link.mer(gm2)
}
## End(Not run)
##example with linear mixed model with Orthodont data from
##Pinheiro and Bates (2000)
## Not run:
data(Orthodont, package = "nlme")
m1 <- lmer(distance ~ Sex + (1 | Subject), data = Orthodont,
REML = FALSE)
fam.link.mer(m1)
m2 <- glmer(distance ~ Sex + (1 | Subject),
family = gaussian(link = "log"), data = Orthodont,
REML = FALSE)
fam.link.mer(m2)
detach(package:lme4)
## End(Not run)
[Package AICcmodavg version 2.3-3 Index]