Hi, Christian, Yes, it works. Thank you very much. It's really helpful.
Cindy On Mon, Jul 27, 2009 at 5:39 AM, Christian Hennig <chr...@stats.ucl.ac.uk>wrote: > Hi Cindy, > > you need the summary function > >> mclustsummary <- summary(mclustBICoutputobject,data) >> > to get all the information. Some (like best model) is given if you just > print out the summary object. Some other information (like estimated > parameter values) are accessible as components of the summary object, like > mclustsummary$parameters$... > Try > >> str(mclustsummary) >> > to see what's there (unfortunately this is not fully documented). > > For more detail see the help pages. > > Hope this helps, > > Christian > > On Sun, 26 Jul 2009, cindy Guo wrote: > > Hi, Christian, >> >> Thank you for the reply. I just tried. Does the function mclustBIC only >> give >> the best model, or does it also do EM to get the cluster means and >> variances >> according to the best model it picks? I didn't find it. Is there a way to >> automatically select the best number of components and do EM? Because I >> need >> to do the normal mixture model in a loop (one EM at an iteration), so I >> want >> it to do everything automatically. >> Thanks, >> >> Cindy >> >> On Sun, Jul 26, 2009 at 3:46 PM, Christian Hennig <chr...@stats.ucl.ac.uk >> >wrote: >> >> You can use mclustBIC in package mclust (uses the BIC for deciding >>> about >>> the number of components and hierarchical clustering for initialisation). >>> >>> Christian >>> >>> >>> On Sun, 26 Jul 2009, cindy Guo wrote: >>> >>> Hi, All, >>> >>>> >>>> I want to fit a normal mixture model. Which package in R is best for >>>> this? >>>> I >>>> was using the package 'mixdist', but I need to group the data into >>>> groups >>>> before fitting model, and different groupings seem to lead to different >>>> results. What other package can I use which is stable? And are there >>>> packages that can automatically determine the number of components? >>>> >>>> Thank you, >>>> >>>> Cindy >>>> >>>> [[alternative HTML version deleted]] >>>> >>>> ______________________________________________ >>>> 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<http://www.r-project.org/posting-guide.html> >>>> <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 >>> chr...@stats.ucl.ac.uk, www.homepages.ucl.ac.uk/~ucakche >>> >>> >> > *** --- *** > Christian Hennig > University College London, Department of Statistical Science > Gower St., London WC1E 6BT, phone +44 207 679 1698 > chr...@stats.ucl.ac.uk, www.homepages.ucl.ac.uk/~ucakche > [[alternative HTML version deleted]] ______________________________________________ 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.
