Miscellaneous functions for the random covariance model (RCM).
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A numeric of length one giving the degrees of freedom in the RCM.
A numeric giving the dimension of the space.
A numeric square positive semi-definite matrix. The underlying parameter in the RCM.
A numeric square positive semi-definite matrix. The expected covariance matrix in the RCM.
ICC compute the ICC in the RCM.
A simple function for computing the intra-class correlation coefficient
(ICC). This function simply computes 1 divided by
nu - p.
Sigma2Psi provide conversion between Psi
and Sigma. Computes the expected covariance matrix from Psi and nu in the
random covariance model (RCM) and the other way around.
ICC: A numeric giving the ICC.
The converted matrix the same size as
Anders Ellern Bilgrau <anders.ellern.bilgrau (at) gmail.com>
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