`scipy.stats._multivariate:matrix_t_gen._logpdf`

source: /scipy/stats/_multivariate.py :1843

Signature

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

Summary

Log of the matrix t probability density function.

Parameters

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

Notes

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

Aliases

scipy.stats._multivariate.matrix_t_gen._logpdf