Finds the relative depth, min((M1-m)/m, (M2-m)/m), where M1 is the maximum density below the optimal hyperplane orthogonal to v and M2 the maximum above, while m is the integrated density on the optimal hyperplane orthogonal to v.
md_reldepth(v, X, P)a numeric vector of length ncol(X)
a numeric matrix (num_data x num_dimensions) to be projected on v
a list of parameters including (at least) $h (positive numeric bandwidth value), $alpha (positive numeric constraint width), $C (positive numeric affecting the slope of the penalty)
the value of the relative depth of the best hyperplane orthogonal to v.