`scipy.stats._multivariate:invwishart_gen._inv_standard_rvs`

Signature

def _inv_standard_rvs(self, n, shape, dim, df, random_state)

n : int: Number of variates to generate
shape : iterable: Shape of the variates to generate
dim : int: Dimension of the scale matrix
df : int: Degrees of freedom
random_state : {None, int, `numpy.random.Generator`,: numpy.random.RandomState}, optional
If seed is None (or np.random), the numpy.random.RandomState singleton is used. If seed is an int, a new RandomState instance is used, seeded with seed. If seed is already a Generator or RandomState instance then that instance is used.

A : ndarray: Random variates of shape (shape) + (dim, dim). Each slice A[..., :, :] is lower-triangular, and its inverse is the lower Cholesky factor of a draw from invwishart(df, np.eye(dim)).

As this function does no argument checking, it should not be called directly; use 'rvs' instead.