Scaling operator
RMS is an operator that modifies the variance and the
coordinates or distances of a submodel φ by
C(h) = v * φ(A*h/s).
Most users will never call RMS directly, see
Details. However, the following describes the arguments
var, scale, Aniso, proj that are common to
nearly all models. See RMSadvanced for advanced use of
these arguments.
RMS(phi, var, scale, Aniso, proj, anisoT)
phi |
submodel |
var |
is the optional variance parameter v. |
scale |
scaling parameter s which is positive. |
Aniso |
matrix or |
proj |
is the optional projection vector which defines a diagonal
matrix of zeros and ones and |
anisoT |
the transpose of the anisotropy matrix B, multiplied from the left by a distance vector x, i.e. x^\top B. |
The call in the usage section is equivalent to
phi(..., var, scale, anisoT, Aniso, proj), where phi has
to be replaced by a valid RMmodel.
Most users will never call RMS directly.
At most one of the arguments Aniso, anisoT and proj may be given at the same time.
Martin Schlather, schlather@math.uni-mannheim.de, https://www.wim.uni-mannheim.de/schlather/
RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set ## RFoptions(seed=NA) to make them all random again model1 <- RMS(RMexp(), scale=2) model2 <- RMexp(scale=2) x <- seq(0, 10, 0.02) print(all(RFcov(model1, x) == RFcov(model2, x))) # TRUE
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