Thanks for the suggestion. Is such a model appropriate for count data?
The library you reference seems to just be form standard regressions
(ie those with continuous dependent variables).
Thanks,
Brett
On 7/16/05, Spencer Graves [EMAIL PROTECTED] wrote:
Have you considered lme in
Dear Brett:
There are books for this topic that are more narrowly tailored to your
question. Lindsey's Models for Repeated Measurements and Diggle, et al's
Analysis of Longitudinal Data. Lindsey offers an R package on his web
site. If you dig around, you will find many modeling papers on
We are leveraging too far on speculation, at least from what I can
see. PLEASE do read the posting guide!
http://www.R-project.org/posting-guide.html;. In particular, try the
simplest example you can find that illustrates your question, and
explain your concerns to us in terms of a
Paul,
Thank you so much for your thoughtful reply. I agree - there are many
possible descriptions for my data, and I realize that I don't want to
get bogged down with figuring out the 'best' model if something simple
will work well. For me, I think the difficulty is going to be handling
the
Hello,
I'm trying to model the entry of certain firms into a larger number of
distinct markets over time. I have a short time series, but a large
cross section (small T, big N).
I have both time varying and non-time varying variables. Additionally,
since I'm modeling entry of firms, it seems
Hello,
I'm trying to model the entry of certain firms into a larger number of
distinct markets over time. I have a short time series, but a large
cross section (small T, big N).
I have both time varying and non-time varying variables. Additionally,
since I'm modeling entry of firms, it seems
