Summarizing Robust Fits of Generalized Linear Models
The summary
method for class "glmrob"
summarizes robust fits of (currently only discrete) generalized linear
models.
## 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"), ...)
object |
an object of class |
correlation |
logical; if |
symbolic.cor |
logical. If |
... |
further arguments passed to or from other methods. |
x |
an object of class |
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”. |
summary.glmrob
returns an object of class
"summary.glmrob"
.
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 |
Andreas Ruckstuhl
glmrob
; the generic summary
and
also summary.glm
.
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
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.