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

In ikosmidis/brquasi: Bias reduction in quasi likelihood estimation

'summary()' method for 'brquasiFit()' objects

Description

'summary()' method for 'brquasiFit()' objects

Usage

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

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.

Details

The interface of the summary method for 'brquasiFit()' objects is identical to that of 'glm()' objects. The summary method for 'brquasiFit()' 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(brquasiFit)`

ikosmidis/brquasi documentation built on Jan. 27, 2023, 9:04 p.m.