Message-ID: <1323783697437-4190496.post@n4.nabble.com>
Date: 2011-12-13T13:41:37Z
From: xfei
Subject: Should I use nls for this?
Hi,
I have a dataset with the following properties:
Y_i ~ N(mu_i, theta * (mu_i)^2)
ln(mu_i) = B'Xi
theta and beta's are the parameters here.
I want to come up with a model to fit the data with the above property and
test that model on the built in R dataset quine.
Does nls() make sense in this case? Or is there any existing R package which
can fit this model?
-Shelly
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