`scipy.stats._multivariate:matrix_t_gen._logpdf`

Signature

def _logpdf(self, dims, X, mean, df, invrow_spread, invcol_spread, logdetrow_spread, logdetcol_spread)

Log of the matrix t probability density function.

dims : tuple: Dimensions of the matrix variates
X : ndarray, shape (m,n) (equal to `dims`): Points at which to evaluate the log of the probability density function
mean : ndarray, shape (m,n): Mean of the distribution
df : float: Degrees-of-freedom parameter
invrow_spread : ndarray, shape (m,m): Inverse of the row-wise spread matrix
invcol_spread : ndarray, shape (n,n): Inverse of the column-wise spread matrix
logdetrow_spread : float: Log-determinant of the row-wise spread matrix
detcol_spread : float: Log-determinant of the column-wise spread matrix

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