R: Extract model variance-covariance matrix from 'brnb' objects

vcov.brnb {brglm2}

R Documentation

Extract model variance-covariance matrix from `brnb` objects

Description

Extract model variance-covariance matrix from brnb objects

Usage

## 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 `NA`s 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.

Extract model variance-covariance matrix from brnb objects

Description

Usage

Arguments

Details

See Also

Extract model variance-covariance matrix from `brnb` objects