R: Summarizing Robust Fits of Generalized Linear Models
summary.glmrob
R Documentation
Summarizing Robust Fits of Generalized Linear Models
Description
The summary method for class "glmrob"
summarizes robust fits of (currently only discrete) generalized linear
models.
Usage
## S3 method for class 'glmrob'
summary(object, correlation = FALSE, symbolic.cor = FALSE, ...)
## S3 method for class 'glmrob'
vcov(object, ...)
## S3 method for class 'summary.glmrob'
print(x, digits = max(3, getOption("digits") - 3),
symbolic.cor = x$symbolic.cor,
signif.stars = getOption("show.signif.stars"), ...)
Arguments
object
an object of class "glmrob", usually, a result of
a call to glmrob.
correlation
logical; if TRUE, the correlation matrix of
the estimated parameters is returned and printed.
symbolic.cor
logical. If TRUE, print the correlations in
a symbolic form (see symnum) rather than as numbers.
...
further arguments passed to or from other methods.
x
an object of class "summary.glrob".
digits
the number of digits to use for printing.
signif.stars
logical indicating if the P-values should be
visualized by so called “significance stars”.
Details
summary.glmrob returns an object of class"summary.glmrob".
Its print() method tries to be smart about formatting the
coefficients, standard errors, etc, and gives
“significance stars” if signif.stars is TRUE
(as per default when options where not changed).
Value
The function summary.glmrob computes and returns a list
of summary statistics of the robustly fitted linear model given in
object. The following elements are in the list:
...
FIXME
Author(s)
Andreas Ruckstuhl
See Also
glmrob; the generic summary and
also summary.glm.
Examples
data(epilepsy)
Rmod <- glmrob(Ysum ~ Age10 + Base4*Trt, family = poisson,
data = epilepsy, method= "Mqle")
ss <- summary(Rmod)
ss ## calls print.summary.glmrob()
str(ss) ## internal STRucture of summary object