glmRob.object {robust} | R Documentation |
These are objects of class glmRob
which represent the robust fit of a generalized linear regression model, as estimated by glmRob()
.
coefficients |
the coefficients of the 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 |
the linear fit, given by the product of the model matrix and the coefficients. |
fitted.values |
the fitted mean values, obtained by transforming
linear.predictors using the inverse link
function.
|
residuals |
the residuals from the final fit; also known as working residuals, they are typically not interpretable. |
deviance |
up to a constant, minus twice the log-likelihood evaluated at the final
coefficients . Similar to the residual sum of
squares.
|
null.deviance |
the deviance corresponding to the model with no predictors. |
family |
a 3 element character vector giving the name of the family, the link and the variance function. |
rank |
the number of linearly independent columns in the model matrix. |
df.residuals |
the number of degrees of freedom of the residuals. |
call |
a copy of the call that produced the object. |
assign |
the same as the assign component of an
"lm" object.
|
contrasts |
the same as the contrasts component of an "lm" object.
|
terms |
the same as the terms component of an "lm" object.
|
ni |
vector of the number of repetitions on the dependent variable. If the model
is poisson then ni is a vector of
1 s.
|
weights |
weights from the final fit. |
iter |
number of iterations used to compute the estimates. |
y |
the dependent variable. |
contrasts |
the same as the 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.
|
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.