mxt: Matrix Variate t-Distribution
In matdist: Matrix Variate Distributions

Functions dmxt and rmxt are for evaluating densities and generating random samples from corresponding matrix variate t-distribution.

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dmxt(X, df, M = array(0, c(p, m)), U = diag(nrow(M)), V = diag(ncol(M)))

rmxt(n, df, M, U = diag(nrow(M)), V = diag(ncol(M)))

`X`	a `(p-by-m)` matrix whose density be computed.
`df`	degrees of freedom.
`M`	a `(p-by-n)` mean matrix.
`U`	a `(p-by-p)` left spread matrix.
`V`	an `(n-by-n)` right spread matrix.
`n`	the number of samples to be generated.

## generate 5 samples from {M,U,V = diag()} of df = 10
st5 = rmxt(5, df=10, M=diag(3))

## evaluate density for the 3rd sample
dmxt(st5[,,3], df=10, M=diag(3))