glmRob
which
represent the robust fit of a generalized linear regression model, as
estimated by
glmRob()
.
This class of objects is returned from the
glmRob
function.
anova
,
coefficients
,
deviance
,
fitted.values
,
family
,
formula
,
plot
,
print
,
residuals
,
summary
.
The following components must be included in a legitimate
"glmRob"
object. Residuals, fitted values, and
coefficients should be extracted by the generic functions of the same name,
rather than by the
"$"
operator. The
family
function returns the entire family
object used in the fitting, and
deviance
can
be used to extract the deviance of the fit.
linear.predictors
,
which multiply the columns of the model matrix. The names of the
coefficients are the names of the single-degree-of-freedom effects (the
columns of the model matrix). If the model is over-determined there will be
missing values in the coefficients corresponding to inestimable
coefficients.
linear.predictors
using the inverse link
function.
coefficients
. Similar to the residual sum of
squares.
assign
component of an
"lm"
object.
contrasts
component of an
"lm"
object.
terms
component of an
"lm"
object.
ni
is a vector of
1
s.
contrasts
term of an
"lm"
object. The object will also contain
other components related to the numerical fit that are not relevant for the
associated methods.