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The variance covariance tensor structured according of linear models with ilr(acomp(...)) responses.
vcovAcomp(object,...)a statistical model
further optional parameters for vcov
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.
The prediction error in compositional linear regression models is a complicated object. The function should help to organize it.
# NOT RUN {
data(SimulatedAmounts)
model <- lm(ilr(sa.groups)~sa.groups.area)
vcovAcomp(model)[,,1,1]
# }
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