[R] Likelihood of multiple random processes
danbebber at forestecology.co.uk
Thu Nov 2 12:34:12 CET 2006
> Do you know which observations came from which process (you do in your
> example, but it whatever it is supposed to emulate)?
No- I need to determine whether more than one process could have been
> If not, you want to estimate a mixture distribution. This is covered in
> chapter 16 of the book fitdistr() supports as well as in several CRAN
Many thanks- I didn't know they were called mixture models.
Page 437 is in front of me now.
> On Thu, 2 Nov 2006, Dan Bebber wrote:
>> Is there a method in R for estimating the likelihood that two (or more)
>> random variables generated a univariate sample?
>> For a single random variable there is:
>> x <- c(rnorm(20,10,3),rnorm(20,20,5))
>> Is there a way of of specifying that more than one normal distribution
>> should be fitted?
>> If so, then I suppose that the AIC of the two models could be calculated.
>> Many thanks,
>> Dan Bebber
>> Department of Plant Sciences
>> University of Oxford
>> R-help at stat.math.ethz.ch mailing list
>> PLEASE do read the posting guide
>> and provide commented, minimal, self-contained, reproducible code.
> Brian D. Ripley, ripley at stats.ox.ac.uk
> Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
> University of Oxford, Tel: +44 1865 272861 (self)
> 1 South Parks Road, +44 1865 272866 (PA)
> Oxford OX1 3TG, UK Fax: +44 1865 272595
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