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Simulates from a multivariate normal distribution
rmnorm(n = 1, mean = rep(0, d), varcov)
number of random numbers to be generated
numeric vector giving the mean of the distribution
a positive definite matrix representing the variance-covariance matrix of the distribution
matrix of n rows of random vectors
# NOT RUN { mu <- c(1,12,2) Sigma <- matrix(c(1,2,0,2,5,0.5,0,0.5,3), 3, 3) x <- rmnorm(10, mu, Sigma) # }
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