Simulate from a Multivariate Normal Distribution
Simulate from a multiviate normal distribution
rmvnorm(n, mu=NULL, sigma=NULL)
n |
Number of vectors to simulate |
mu |
mean vector |
sigma |
covariance matrix, assumed symmetric and nonnegative definite |
This function uses an eigen
decomposition assuming sigma
is symmetric.
In particular, the upper triangle of sigma
is ignored.
An n x d matrix in which each row is an independently generated realization from the desired multivariate normal distribution
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