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Function computing the mutual information between two exhaustive and mutually exclusive splits of a set of multivariate normal random variables.
GGMmutualInfo(S, split1)
A positive-definite covariance matrix.
matrix
A numeric, indicating the variates (by column number) forming the first split. The second split is automatically formed from its complement.
numeric
A numeric, the mutual information between the variates forming split1 and those forming its complement.
split1
Cover, T.M., Thomas, J.A. (2012), Elements of information theory.
covML, ridgeP.
covML
ridgeP
# NOT RUN { # create a covariance matrix Sigma <- covML(matrix(rnorm(100), ncol=5)) # impulse response analysis GGMmutualInfo(Sigma, c(1,2)) # }
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