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Simulate a Wishart-distributed random matrix.
rwish(S0, nu = dim(as.matrix(S0))[1] + 1)
a positive definite matrix.
a positive scalar.
This function simulates a Wishart random matrix using Bartletts decomposition, as described in Everson and Morris (2000).
# NOT RUN { # simulate several matrices and compute the mean. SS <- matrix(0, 5, 5) for(s in 1:1000) { SS <- SS + tensr:::rwish(diag(5), 3) } SS / s # }
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