the fitted model.
This is assumed to be the result of some fit that produces
an object inheriting from the class
rlm, in the sense that
the components returned by the
rlm function will be available.
OPTIONAL ARGUMENTS:
method
Should the weighted (by the IWLS weights) or unweighted cross-products
matrix be used?
correlation
logical. Should correlations be computed (and printed)?
...
arguments passed to or from other methods.
VALUE:
If printing takes place, only a null value is returned.
Otherwise, a list is returned with the following components.
Printing always takes place if this function is invoked automatically
as a method for the
summary function.
correlation
The computed correlation coefficient matrix for the coefficients in the model.
cov.unscaled
The unscaled covariance matrix; i.e, a matrix such that multiplying it by
an estimate of the error variance produces an estimated covariance matrix
for the coefficients.
sigma
The scale estimate.
df
The number of degrees of freedom for the model and for residuals.
coefficients
A matrix with three columns, containing the coefficients, their standard errors
and the corresponding t statistic.
terms
The terms object used in fitting this model.
DETAILS:
This function is a method for the generic function
for class rlm.
It can be invoked by calling
for an object x of the appropriate class, or directly by calling
regardless of the class of the object.
SEE ALSO:
EXAMPLES:
summary(rlm(calls ~ year, data = phones, maxit = 50))