model based clustering with flexmix
Hello all, I am trying to fit a truncated mixture model and I wrote a driver for flexmix following the example in the vignette, but it doesn't work for me: it assigns all data points to one component only, e.g.:
source('bugged.R')
Call:
flexmix(formula = x ~ 1, k = 2, model = truncatedmodel(lower = -4,
upper = 4))
prior size post>0 ratio
Comp.1 0.494 0 1000 0
Comp.2 0.506 1000 1000 1
'log Lik.' -707703.3 (df=9)
AIC: 1415425 BIC: 1415469
What am I doing wrong? Please find my code attached. cheers
Giovanni L. Ciampaglia PhD Student University of Lugano, MACS Lab -------------- next part -------------- An embedded and charset-unspecified text was scrubbed... Name: bugged.R URL: <https://stat.ethz.ch/pipermail/r-help/attachments/20091109/754891f4/attachment-0001.pl>