On Wed, 7 Jan 2004, Nadine Henkenjohann wrote: > Hello, > > is there a package which allows to fit a spatial regression model for > any k-dimensional data?
This site: http://sal.agecon.uiuc.edu/csiss/Rgeo/index.html tries to provide some guidance about the availability of packages for analysis of spatial data. The Geostatistics section of that site lists a number of packages perhaps relevant to your problem, but there are other possibilities too. Roger > The spatial regression model is composed of three components: > > y=mu+Z+epsilon, > > where mu is a low order polynomial, Z is a realization of a second-order > stochastic process with covariance matrix Sigma and epsilon is a > realization of a white-noise process. The covariance function belongs to > the class of either isotropic or anisotropic functions. Mean and > covariance parameters are estimated simultaneously by ML or REML. > > I hope somebody can answer my question. > Thank you! > > Nadine Henkenjohann > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > -- Roger Bivand Economic Geography Section, Department of Economics, Norwegian School of Economics and Business Administration, Breiviksveien 40, N-5045 Bergen, Norway. voice: +47 55 95 93 55; fax +47 55 95 93 93 e-mail: [EMAIL PROTECTED] ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
