Message-ID: <05686ddeb67d780327bfcfdcc619ea6b@gmail.com>
Date: 2005-03-16T20:06:55Z
From: D L Rustvold
Subject: mixture model of binned data
Is there a ready means to do mixture models of binned data in R?
I have a two dimensional grid of intensity values that represents many
individual observations that are known to have bivariate normal
distributions, although there is frequent overlap between the
distributions. There is also a degree of noise in the data that may be
modeled by a poisson distribution. I am looking for a way to identify
the mixture model that best describes a subset of this grid of
intensities so that I can deconvolute the multiple observations and
noise distributions for quantification purposes.
I thought Mclust might be of use, but I didn't see any support for
binned data. I have searched the archives, read the FAQ, and the
document "Fitting Distributions with R" without finding a successful
solution.
Any help would be appreciated.
Cheers,
Leif Rustvold