Gaussian Covariance Model
gauss is a stationary isotropic covariance model.
The corresponding covariance function only depends on the distance
r ≥ 0 between two points and is given by
C(r)=e^{-r^2}.
gauss(x, derivative=0)
x |
numerical vector; for negative values the modulus is used |
derivative |
value in |
If derivative=0, the function value is
returned, otherwise the derivativeth derivative.
A vector of length(x) is returned; nu is recycled;
scaling is recycled if numerical.
Martin Schlather, schlather@math.uni-mannheim.de, http://ms.math.uni-mannheim.de
Gelfand, A. E., Diggle, P., Fuentes, M. and Guttorp, P. (eds.) (2010) Handbook of Spatial Statistics. Boca Raton: Chapman & Hall/CRL.
Stein, M. L. (1999) Interpolation of Spatial Data. New York: Springer-Verlag
For more details see RMgauss.
x <- 3 confirm(gauss(x), exp(-x^2))
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