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Sampler derived using the eigendecomposition of the covariance matrix Sigma. The function uses the Armadillo random normal generator
Sigma
mvrnorm(n, mu, Sigma)
sample size
mean vector. Will set the dimension
a square covariance matrix, of same dimension as mu. No sanity check is performed to validate that the matrix is p.s.d., so use at own risk
mu
an n sample from a multivariate Normal distribution
n
# NOT RUN { mvrnorm(n=10, mu=c(0,2), Sigma=diag(2)) # }
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