summary()
method for brglmFit objectssummary()
method for brglmFit objects
# S3 method for brglmFit
summary(
object,
dispersion = NULL,
correlation = FALSE,
symbolic.cor = FALSE,
...
)# S3 method for summary.brglmFit
print(
x,
digits = max(3L, getOption("digits") - 3L),
symbolic.cor = x$symbolic.cor,
signif.stars = getOption("show.signif.stars"),
...
)
an object of class "glm"
, usually, a result of a
call to glm
.
the dispersion parameter for the family used.
Either a single numerical value or NULL
(the default), when
it is inferred from object
(see ‘Details’).
logical; if TRUE
, the correlation matrix of
the estimated parameters is returned and printed.
logical. If TRUE
, print the correlations in
a symbolic form (see symnum
) rather than as numbers.
further arguments passed to or from other methods.
an object of class "summary.glm"
, usually, a result of a
call to summary.glm
.
the number of significant digits to use when printing.
logical. If TRUE
, ‘significance stars’
are printed for each coefficient.
The interface of the summary method for "brglmFit"
objects is identical to that of "glm"
objects. The summary
method for "brglmFit"
objects computes the p-values of the
individual Wald statistics based on the standard normal
distribution, unless the family is Gaussian, in which case a t
distribution with appropriate degrees of freedom is used.
summary.glm()
and glm()
## For examples see `examples(brglmFit)`
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