
RMmodel
is supplemented internally by
operators that are tacitely assumed, e.g. Further completions of the user's model determine what should be
done with the model, e.g. calculation of the covariance
(RFfunctions
that have
an internal represenation as completion to the user's model.
'kriging' and 'imputing'
RFfunction
, with some
more details
RMmodelgenerator
RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
## RFoptions(seed=NA) to make them all random again
z <- RFsimulate(model=RMexp(), 1:10)
RFgetModel(RFsimulate, show.call = TRUE) # user's definition
RFgetModel(RFsimulate, show.call = FALSE) # main internal part
FinalizeExample()
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