wishpdf
statistics: y = wishpdf (W, Sigma, df, log_y=false)
Compute the probability density function of the Wishart distribution
Inputs: A p x p matrix W where to find the PDF. The p x p positive definite matrix Sigma and scalar degrees of freedom parameter df characterizing the Wishart distribution. (For the density to be finite, need df > (p - 1).)
If the flag log_y is set, return the log probability density – this helps avoid underflow when the numerical value of the density is very small
Output: y is the probability density of Wishart(Sigma, df) at W.
Input arguments must be double or single; integer, logical,
and character arrays are rejected. MATLAB accepts a character array and
evaluates it at the character codes, which Octave deliberately does not,
since a character array is an integer type and integers are refused too.
See also: wishrnd, iwishpdf, iwishrnd
Source Code: wishpdf