`scipy.stats._multivariate:matrix_normal_gen._logpdf`

Signature

def _logpdf(self, dims, X, mean, row_prec_rt, log_det_rowcov, col_prec_rt, log_det_colcov)

Log of the matrix normal probability density function.

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

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