Constructs a Wishart prior for the covariance matrix

def construct_wishart(self,v,X):
        """
        Constructs a Wishart prior for the covariance matrix
        """
        self.adjust_prior(list(range(int((len(self.latent_variables.z_list)-self.ylen-(self.ylen**2-self.ylen)/2)),
            int(len(self.latent_variables.z_list)))), fam.InverseWishart(v,X))