Hi,
you can also look at the function normalmix.init in the mixtools
package.
Tatiana
Tatiana Benaglia
Ph.D. Candidate
Department of Statistics
Penn State University
On Feb 23, 2007, at 12:02 AM, [EMAIL PROTECTED] wrote:
Hi,
I have a problem of estimating a mixture of two normal
If you don't have too much noise, the peaks in the derivative curves can be
used:
See:
http://research.stowers-institute.org/efg/R/Statistics/MixturesOfDistributions/index.htm
efg
Earl F. Glynn
Scientific Programmer
Stowers Institute for Medical Research
[EMAIL PROTECTED] wrote in message
Hi,
I have a problem of estimating a mixture of two normal distributions. I
need to find the starting points automatically, since this is a part of a
larger piece of image processing code.
I found the mix2normal1 function in VGAM package that mentions a method of
finding starting values for mu1
Hi,
Try MCLUST package. You can use the hierarchical clustering to find the
starting values of your EM.
Xiaohui
[EMAIL PROTECTED] wrote:
Hi,
I have a problem of estimating a mixture of two normal distributions. I
need to find the starting points automatically, since this is a part of a
