Hi, I am looking for a way to run a Gaussian Mixture Regression (GMR) in R.
In other words, say that I have a Gaussian Mixture Model (GMM) calculated using, for example, the MClust library. This model represents the joint distribution of two independent variables P(A,B). I need to calculate P(A|B = b). I have seen implementations in Matlab <http://www.mathworks.com/matlabcentral/fileexchange/19630-gaussian-mixture-model--gmm--gaussian-mixture-regression--gmr-/content/GMM-GMR-v2.0/GMR.m> and Python <http://pypr.sourceforge.net/mog.html> for that, but the rest of my project is in R. I wanted to make sure it does not exist (no luck on Google so far...) before trying to implement it myself. Thanks in advance, l. -- View this message in context: http://r.789695.n4.nabble.com/Gaussian-Mixture-Regression-tp4711583.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
