R_help Help
2009-Oct-06 02:30 UTC
[R] how to fit time varying coefficient regression model?
Hi - I read through dse package manual a bit. I'm not quite certain how I can use it to estimate a time varying coefficient regression model? I might pick up an inappropriate package. Any suggestion would be greatly appreciated. Thank you. rh
Giovanni Petris
2009-Oct-06 13:37 UTC
[R] how to fit time varying coefficient regression model?
Dear "rh", You may take a look at package dlm. A vignette is included in the documentation. Giovanni> Date: Mon, 05 Oct 2009 22:30:05 -0400 > From: R_help Help <rhelpacc at gmail.com> > Sender: r-help-bounces at r-project.org > Precedence: list > DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=gamma; > DomainKey-Signature: a=rsa-sha1; c=nofws; d=gmail.com; s=gamma; > > Hi - I read through dse package manual a bit. I'm not quite certain > how I can use it to estimate a time varying coefficient regression > model? I might pick up an inappropriate package. Any suggestion would > be greatly appreciated. Thank you. > > rh > > ______________________________________________ > R-help at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > >-- Giovanni Petris <GPetris at uark.edu> Associate Professor Department of Mathematical Sciences University of Arkansas - Fayetteville, AR 72701 Ph: (479) 575-6324, 575-8630 (fax) http://definetti.uark.edu/~gpetris/
Alain Zuur
2009-Oct-06 15:09 UTC
[R] how to fit time varying coefficient regression model?
R_help Help wrote:> > Hi - I read through dse package manual a bit. I'm not quite certain > how I can use it to estimate a time varying coefficient regression > model? I might pick up an inappropriate package. Any suggestion would > be greatly appreciated. Thank you. > > > Just rewrite the linear regression model into state-space equations, and > apply Kalman filtering. See Chapter 16 or 17 in our Analysing Ecological > Data book. There will be packages in R that can do kalman filtering and > smoothing > > Alain > > > > > > rh > > ______________________________________________ > R-help at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > >----- -------------------------------------------------------------------- Dr. Alain F. Zuur First author of: 1. Analysing Ecological Data (2007). Zuur, AF, Ieno, EN and Smith, GM. Springer. 680 p. 2. Mixed effects models and extensions in ecology with R. (2009). Zuur, AF, Ieno, EN, Walker, N, Saveliev, AA, and Smith, GM. Springer. 3. A Beginner's Guide to R (2009). Zuur, AF, Ieno, EN, Meesters, EHWG. Springer Statistical consultancy, courses, data analysis and software Highland Statistics Ltd. 6 Laverock road UK - AB41 6FN Newburgh Email: highstat at highstat.com URL: www.highstat.com -- View this message in context: http://www.nabble.com/how-to-fit-time-varying-coefficient-regression-model--tp25762040p25770615.html Sent from the R help mailing list archive at Nabble.com.