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.

### See Also

`vcov`

[Package brglm2 version 0.8.2 Index]