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spatstat (version 1.44-0)

methods.zclustermodel: Methods for Cluster Models

Description

Methods for the experimental class of cluster models.

Usage

## S3 method for class 'zclustermodel':
pcfmodel(model, \dots)
 ## S3 method for class 'zclustermodel':
predict(object, \dots,
                  locations, type = "intensity", ngrid = NULL)
 ## S3 method for class 'zclustermodel':
print(x, \dots)

Arguments

model,object,x
Object of class "zclustermodel".
...
Arguments passed to other methods.
locations
Locations where prediction should be performed. A window or a point pattern.
type
Currently must equal "intensity".
ngrid
Pixel grid dimensions for prediction, if locations is a rectangle or polygon.

Value

  • Same as for other methods.

Details

Experimental.

See Also

zclustermodel

Examples

Run this code
m <- zclustermodel("Thomas", kappa=10, mu=5, scale=0.1)
  m2 <- zclustermodel("VarGamma", kappa=10, mu=10, scale=0.1, nu=0.7)
  m
  m2
  g <- pcfmodel(m)
  g(0.2)
  g2 <- pcfmodel(m2)
  g2(1)
  Z <- predict(m, locations=square(2))
  Z2 <- predict(m2, locations=square(1))
  varcount(m, square(1))
  varcount(m2, square(1))

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