vcov.brnb: Extract model variance-covariance matrix from 'brnb' objects

Description Usage Arguments Details See Also

View source: R/brnb.R

Description

Extract model variance-covariance matrix from brnb objects

Usage

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## S3 method for class 'brnb'
vcov(object, model = c("mean", "full", "dispersion"), complete = TRUE, ...)

Arguments

object

an object of class "brnb", usually, a result of a call to brnb.

model

character specifying for which component of the model variance-covariance matrix should be extracted.

complete

for the aov, lm, glm, mlm, and where applicable summary.lm etc methods: logical indicating if the full variance-covariance matrix should be returned also in case of an over-determined system where some coefficients are undefined and coef(.) contains NAs correspondingly. When complete = TRUE, vcov() is compatible with coef() also in this singular case.

...

additional arguments for method functions. For the glm method this can be used to pass a dispersion parameter.

Details

The options for model are "mean" for mean regression only (default), "dispersion" for the dispersion parameter (in a chosen transformation; see brglmControl), and "full" for both the mean regression and the (transformed) dispersion parameters. See vcov for more details.

See Also

vcov


ikosmidis/brglm2 documentation built on July 20, 2021, 10:48 p.m.