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Simulate from a multivariate normal distribution.
rmvn(n, mu = 0, V = matrix(1))
A matrix of size n x length(mu). Each row corresponds to a separate replicate.
length(mu)
Number of simulation replicates.
Mean vector.
Variance-covariance matrix.
Uses the Cholesky decomposition of the matrix V, obtained by base::chol().
V
base::chol()
stats::rnorm()
x <- rmvn(100, c(1,2),matrix(c(1,1,1,4),ncol=2))
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