I just did RSiteSearch("poisson time series"). The second and third of 75 hits seemed relevant to your question. (e.g., http://finzi.psych.upenn.edu/R/Rhelp02a/archive/58054.html) Some of the other responses did not seem relevant, but I didn't look at all of them. This response menitoned Jim Lindsey, whose "R code" web site is "http://popgen0146uns50.unimaas.nl/~jlindsey/rcode.html".
Hope this helps. If I had a long time series of Poisson counts, I'd be tempted to try a standard time series model on the square root of the counts. If the results were dramatically different from what I got from some more sophisticated modeling strategy, I'd look very carefully at both to make sure I hadn't made a mistake some place. If it were not that important, I might just apply standard time series techniques to the square roots of the counts and go on to the next task. hope this helps. spencer graves p.s. If you'd like more information from this listserve, PLEASE do read the posting guide! "www.R-project.org/posting-guide.html". I believe that people who follow that guide generally get quicker, more useful replies. This is especially true for those who supply a simple, toy example in a few lines of R code that someone else can copy from an email into R, test a few ideas, and craft a reply in a very few minutes. 广星 wrote: > Hi, R-Help, > I am a newbie. > what I concern most recently is the analysis of the time series, > But there are a lot of package in my eyes. > All I want to try is as follow: > How to test whether a time series fit the Poisson or other process in R? > > Thank you very much in advance. > > [EMAIL PROTECTED] > 2005-11-25 > > > > ------------------------------------------------------------------------ > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html -- Spencer Graves, PhD Senior Development Engineer PDF Solutions, Inc. 333 West San Carlos Street Suite 700 San Jose, CA 95110, USA [EMAIL PROTECTED] www.pdf.com <http://www.pdf.com> Tel: 408-938-4420 Fax: 408-280-7915
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