[R] mclust: modelName="E" vs modelName="V"
Christian Hennig
chrish at stats.ucl.ac.uk
Tue Sep 6 18:19:17 CEST 2011
I probably don't understand problem. I'd assume that variance$sigmasq are
the three estimated component variances (probably estimated by maximum a
posteriori, but consult the mclust documentation).
What's wrong with that?
(The values you submit as scale in "prior" are not fixed variances, but
parameters of the prior distribtion - your problem may be that you
believe that they are meant to be variances fixed by you!?)
Christian
On Tue, 6 Sep 2011, Nico902 wrote:
> Hi,
>
> Thanks a lot for your answer. I effectively was able to get rid of this
> message by doing:
>
>> resClust <-
>> Mclust(data,G=3,modelName="V",prior=priorControl(scale=c(1.44,0.81,0.49)));
>
>
> However, I would like to be able to retrieve the variances I defined in the
> result. I found:
>
>> resClust$parameters
> $Vinv
> NULL
>
> $pro
> [1] 0.5502496 0.1986852 0.2510652
>
> $mean
> 1 2 3
> -2.8390006980 -0.0003267873 3.1072574619
>
> $variance
> $variance$modelName
> [1] "V"
>
> $variance$d
> [1] 1
>
> $variance$G
> [1] 3
>
> $variance$sigmasq
> [1] 0.840267666 0.009466821 1.510263146
>
> $variance$scale
> [1] 0.840267666 0.009466821 1.510263146
>
>
> I do not manage to get where the sigmasq is coming from. I tried to sqrt or
> square the sigmasq but it does not correspond to what I defined. I found
> nothing in the manual. If I am missing something obvious or if somebody has
> the solution it will help me a lot. I want to retrieve those values
> automatically to plot the different curves of the fitting and to be sure
> this is doing what I want.
>
> Thank you very much again.
>
> --
> View this message in context: http://r.789695.n4.nabble.com/mclust-modelName-E-vs-modelName-V-tp3789167p3793697.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> R-help at 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.
>
*** --- ***
Christian Hennig
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
mailing list