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.