[R] mclust: modelName="E" vs modelName="V"
chrish at stats.ucl.ac.uk
Sun Sep 4 23:14:57 CEST 2011
This normally happens if the algorithm gets caught in a solution where one
of the components has variance converging to zero.
One way of dealing with this is the use of a prior that penalises too
small variances. This works through the prior argument of Mclust (the
defaultPrior should do the trick but I currently don't have the time to
figure out again how to do this precisely; I have done it before with
Another option is to have a look at the flexmix package.
On Sun, 4 Sep 2011, Nico902 wrote:
> 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 at r-project.org mailing list
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
*** --- ***
University College London, Department of Statistical Science
Gower St., London WC1E 6BT, phone +44 207 679 1698
chrish at stats.ucl.ac.uk, www.homepages.ucl.ac.uk/~ucakche
More information about the R-help