[cv,wx] = best_dir_cov(x,a,sx,wd) x D x P : a P x W : Same as in best_dir, but sx is compulsory. sx P x 1 : wd (W+D) x 1 : ML estimate of [w;d] cv (W+D)x(W+D) : Covariance of the ML estimator at [w;d] wx (W+D)x(P*D) : derivatives of ML estimate wrt to observations
Package: vrml