is there a package which allows to fit a spatial regression model for any k-dimensional data?
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
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