Dear All, Apologies for not providing a reproducible example, but if I could, then I would be able to answer myself my question. Essentially, I am trying to fit a very complicated custom probability distribution to some data. Fitdistrplus does in principle everything which I need, but if require me to specify not only the density function d, but also the cumulative p and and inverse cumulative function q (see for instance
http://www.stat.umn.edu/geyer/old/5101/rlook.html to understand what these quantities are in the case of a normal distribution). The analytical calculation of p and q is a big task in my case, so my question is if there is a workaround for this, i.e. a way to fit the unknown parameters of my probability distribution without specifying (at least analytically) p and q, but only the density d. Many thanks Lorenzo [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
