The response variable and primary covariate in
formula(object)
are used to construct the linear model formula. This formula
and the
groupedData object are passed as the
object and
data
arguments to
glmList.formula, together with any other
additional arguments in the function call. See the documentation on
glmList
for a description of that function.
USAGE:
glmList(object, data, family, level, weights, subset, na.action,
pool, control)
REQUIRED ARGUMENTS:
object
a data frame inheriting from class
groupedData.
data
this argument is included for consistency with the generic function.
It is ignored in this method function.
other arguments
identical to the arguments in the generic function call.
See the documentation for
glmList.
VALUE:
an object of class
glmList,
also inheriting from class
lmList,
corresponding to a list of
glm objects
with as many components as the number of groups defined by the grouping factor.
Generic functions such as
coef,
fixef
,
lme,
pairs
,
plot,
predict
,
ranef,
summary
, and
update
have methods that can be applied
to a
glmList object.
SEE ALSO:
,
,
,
EXAMPLES:
Clinic.gp <- groupedData(resp ~ trt | clinic, data=Clinic)
fm1 <- glmList(Clinic.gp, family = binomial)