---
dims : tuple
    Dimensions of the matrix variates
X : ndarray
    Points at which to evaluate the log of the probability
    density function
mean : ndarray
    Mean of the distribution
row_prec_rt : ndarray
    A decomposition such that np.dot(row_prec_rt, row_prec_rt.T)
    is the inverse of the among-row covariance matrix
log_det_rowcov : float
    Logarithm of the determinant of the among-row covariance matrix
col_prec_rt : ndarray
    A decomposition such that np.dot(col_prec_rt, col_prec_rt.T)
    is the inverse of the among-column covariance matrix
log_det_colcov : float
    Logarithm of the determinant of the among-column covariance matrix

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

r8