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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")

Arguments

object

an object of class eba, typically the result of a call to eba

norm

either sum (default), a number from 1 to number of stimuli, or NULL; see uscale for details

Details

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 a2cov(u), where the constant a results from the type of normalization applied.

Value

The (normalized) covariance matrix of the utility scale.

See also