Computes the (normalized) covariance matrix of the utility scale from the covariance matrix of elimination-by-aspects (EBA) model parameters.
cov.u(object, norm = "sum")an object of class eba, typically the result of a
call to eba
either sum (default), a number from 1 to number of
stimuli, or NULL; see uscale for details
The (normalized) covariance matrix of the utility scale.
The additivity rule for covariances \(cov(x + y, z) = cov(x, z) + cov(y, z)\) is used for the computations.
If norm is not NULL, the unnormalized covariance matrix is
transformed using \(a^2 cov(u)\), where the constant \(a\) results from
the type of normalization applied.