ma_rmvnorm.RdSome functions for normally distributed data.
The function ma_rmvnorm is like mvtnorm::rmvnorm, but allows
for a covariance matrix sigma which can have zero variances.
ma_rmvnorm(n, mu=NULL, sigma, eps=1e-10)
| n | Sample size |
|---|---|
| mu | Mean vector |
| sigma | Covariance matrix |
| eps | Trimming constant for zero variances |
Matrix of simulated values
if (FALSE) { ############################################################################# # EXAMPLE 1: Two-dimensional simulation with zero variance at dimension 1 ############################################################################# sigma <- matrix( c(0,0,0,1), nrow=2, ncol=2) miceadds::ma_rmvnorm( n=10, sigma=sigma ) }