R: Variance covariance matrix of parameters in compositional...

vcovAcomp {compositions} | R Documentation

## Variance covariance matrix of parameters in compositional regression

### Description

The variance covariance tensor structured according of linear models with ilr(acomp(...)) responses.

### Usage

    vcovAcomp(object,...)

### Arguments

`object` | a statistical model
`...` | further optional parameters for `vcov`

### Details

The prediction error in compositional linear regression models is a complicated object. The function should help to organize it.

### Value

An array with 4 dimensions. The first 2 are the index dimensions of the ilr transform. The later 2 are the index of the parameter.

### Author(s)

K.Gerald v.d. Boogaart http://www.stat.boogaart.de

### See Also

`vcov`

### Examples

    data(SimulatedAmounts)
    model <- lm(ilr(sa.groups)~sa.groups.area)
    vcovAcomp(model)[,,1,1]

[Package compositions version 1.40-3 Index]