looking at the documentation of rbwheel() in package robustX, it appears one can change the distribution of the good part ?of the data by changing the "rGood" argument ?in the function call. Would anyone by any chance know how/whether it is possible to change the distribution of the outliers as well?
From a quick look at the help file, it looks like you can do that with
the "rOut" argument. - Andreas
Andreas Alfons Faculty of Business and Economics, KU Leuven www.econ.kuleuven.be/andreas.alfons/public/