gamlss.mx can fit these I believe (although no experience with these myself) flexmix may be (relatively easily) adaptable to accomplish this as well hth, Ingmar
Ingmar Visser Universitair Hoofddocent ontwikkelingspsychologie | Directeur College Psychologie Afdeling Psychologie | Faculteit Maatschappij- en Gedragswetenschappen | Universiteit van Amsterdam Bezoek | Nieuwe Achtergracht 129B | Kamer G 1.18 Post | Postbus 15933 | 1001 NK Amsterdam Pakketpost | Valckenierstraat 59 | 1018 XE Amsterdam T: +31205256723 | M: +31647260824 | e: i.vis...@uva.nl On Thu, Jun 29, 2017 at 2:41 PM, vare vare via R-help <r-help@r-project.org> wrote: > Hello! > > I am new to R (before used python exclusively and would actually call the > R solution for this issue inside a python notebook, hope that doesn’t > disqualify me right of the batch). > > Right now I am looking for a piece of software to fit a 1D data sample > to a mixture of t-distributions. > > I searched quite a while already and it seems to be that this is a > somehwat obscure endeavor as most search results turn up for mixture of > gaussians (what I am not interested here). > > The most promising candidates so far are the "AdMit" and "MitSEM" R > packages. However I do not know R and find the description of these > packages rather comlple and it seems their core objective is not the > fitting of mixtures of t’s but instead use this as a step to accomplish > something else. > > This is in a nutshell what I want the software to accomplish: > > Fitting a mixture of t-distributions to some data and estimate the > "location" "scale" and "degrees of freedom" for each. > > I hope someone can point me to a simple package, I can’t believe that this > is such an obscure use case. > > Thanks! > > ______________________________________________ > 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. [[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.
