mvrtR: Create a multivariate t-distributed random matrix
In pegeler/mvrt: Generate multivariate t-distributed random data

Create a multivariate t-distributed random matrix

mvrtR(
  n,
  mu,
  S,
  df = n - 1,
  max_norm = 2,
  max_iterations = 1000,
  type_norm = "m"
)

`n`	Number of observations
`mu`	Vector of sample means
`S`	Covariance matrix
`df`	Degrees of freedom
`max_norm`	Maximum matrix norm
`max_iterations`	Maximum number of iterations for the loop to search for a matrix meeting `max_norm` criterion.
`type_norm`	Type of matrix norm passed to `norm`