summary.brglmFit: 'summary()' method for brglmFit objects

In brglm2: Bias Reduction in Generalized Linear Models

summary() method for brglmFit objects

Description

summary() method for brglmFit objects

Usage

## S3 method for class 'brglmFit'
summary(
  object,
  dispersion = NULL,
  correlation = FALSE,
  symbolic.cor = FALSE,
  ...
)

## S3 method for class 'summary.brglmFit'
print(
  x,
  digits = max(3L, getOption("digits") - 3L),
  symbolic.cor = x$symbolic.cor,
  signif.stars = getOption("show.signif.stars"),
  ...
)

Arguments

object	an object of class "glm", usually, a result of a call to glm.
dispersion	the dispersion parameter for the family used. Either a single numerical value or NULL (the default), when it is inferred from object (see ‘Details’).
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.glm", usually, a result of a call to summary.glm.
digits	the number of significant digits to use when printing.
signif.stars	logical. If TRUE, ‘significance stars’ are printed for each coefficient.

Details

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.

See Also

summary.glm() and glm()

Examples

## For examples see `examples(brglmFit)`

brglm2 documentation built on Oct. 12, 2023, 1:07 a.m.