Hi, I'm trying to use the library mclust for gaussian mixture on a numeric vector. The function Mclust(data,G=3) is working fine but the fitting is not optimal and is using modelNames="E". When I'm trying Mclust(data,G=3,modelName="V") I have the following message:
Error in if (Sumry$G > 1) ans[c(orderedNames, "z")] else ans[orderedNames] : argument is of length zero In addition: Warning message: In pickBIC(object[as.character(G), modelNames, drop = FALSE], k = 3) : none of the selected models could be fitted Using variable variance would fit my data better, any idea how to do it? Thanks a lot. -- View this message in context: http://r.789695.n4.nabble.com/mclust-modelName-E-vs-modelName-V-tp3789167p3789167.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list 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.
