DSpars: Create a parameter set specifying a direct sampling algorithm
Description
Create a parameter set describing a direct sampling algorithm to multipoint simulation.
All parameters except nsim are optional, as they have default values reasonable
according to experience.
number of realisations desired (attention: current algorithm is slow, start with small values!)
scanFraction
maximum fraction of the training image to be scanned on each iteration
patternSize
number of observations used for conditioning the simulation
gof
maximum acceptance discrepance between a data event in the training image and the conditioning data event
...
further parameters, not used
Value
an S3-list of class "gmDirectSamplingParameters" containing the six elements given as arguments
to the function. This is just a compact way to provide further functions such as predict.gmSpatialModel()
with appropriate triggers for choosing a prediction method or another, in this case for triggering
direct sampling.