pairsat.family | R Documentation |
An object describing the Saturated Pairwise Interaction family of point process models
Advanced Use Only!
This structure would not normally be touched by the user. It describes the “saturated pairwise interaction” family of point process models.
If you need to create a specific interaction model for use in
spatial pattern analysis, use the function Saturated()
or the two existing implementations of models in this family,
Geyer()
and SatPiece()
.
Geyer (1999) introduced the “saturation process”, a modification of the
Strauss process in which the total contribution
to the potential from each point (from its pairwise interaction with all
other points) is trimmed to a maximum value c
.
This model is implemented in the function Geyer()
.
The present class pairsat.family
is the
extension of this saturation idea to all pairwise interactions.
Note that the resulting models are no longer pairwise interaction
processes - they have interactions of infinite order.
pairsat.family
is an object of class "isf"
containing a function pairwise$eval
for
evaluating the sufficient statistics of any saturated pairwise interaction
point process model in which the original pair potentials
take an exponential family form.
Object of class "isf"
, see isf.object
.
and \rolf
Geyer, C.J. (1999) Likelihood Inference for Spatial Point Processes. Chapter 3 in O.E. Barndorff-Nielsen, W.S. Kendall and M.N.M. Van Lieshout (eds) Stochastic Geometry: Likelihood and Computation, Chapman and Hall / CRC, Monographs on Statistics and Applied Probability, number 80. Pages 79–140.
Geyer
to create the Geyer saturation process.
SatPiece
to create a saturated process with
piecewise constant pair potential.
Saturated
to create a more general saturation model.
Other families:
inforder.family
,
ord.family
,
pairwise.family
.
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