clusterradius | R Documentation |

Given a cluster point process model, this command returns a value beyond which the the probability density of the cluster offspring is neglible.

## S3 method for class 'kppm' clusterradius(model, ..., thresh = NULL, precision = FALSE)

`model` |
Cluster model. Either a fitted cluster or Cox model
(object of class |

`...` |
Parameter values for the model,
when |

`thresh` |
Numerical threshold relative to the cluster kernel value at the origin (parent location) determining when the cluster kernel will be considered neglible. A sensible default is provided. |

`precision` |
Logical. If |

Given a cluster model this function by default returns the effective
range of the model with the given parameters as used in spatstat. For
the \Matern cluster model (see e.g. `rMatClust`

) this is
simply the finite radius of the offsring density given by the paramter
`scale`

irrespective of other options given to this function. The
remaining models in spatstat have infinite theoretical range, and an
effective finite value is given as follows: For the Thomas model (see
e.g. `rThomas`

the default is `4*scale`

where scale
is the scale or standard deviation parameter of the model. If
`thresh`

is given the value is instead found as described for the
other models below.

For the Cauchy model (see e.g. `rCauchy`

) and the Variance
Gamma (Bessel) model (see e.g. `rVarGamma`

) the value of
`thresh`

defaults to 0.001, and then this is used to compute the
range numerically as follows. If *k(x,y)=k0(r)*
with *r=sqrt(x^2+y^2)*
denotes the isotropic cluster kernel then *f(r) = 2 π r k0(r)* is the
density function of the offspring distance from the parent. The range
is determined as the value of *r* where *f(r)* falls below
`thresh`

times *k0(r)*.

If `precision=TRUE`

the precision related to the chosen range is
returned as an attribute. Here the precision is defined as the polar
integral of the kernel from distance 0 to the calculated
range. Ideally this should be close to the value 1 which would be
obtained for the true theretical infinite range.

A positive numeric.

Additionally, the precision related to this range value is returned as
an attribute `"prec"`

, if `precision=TRUE`

.

and \ege

`clusterkernel`

, `kppm`

,
`rMatClust`

, `rThomas`

,
`rCauchy`

,
`rVarGamma`

, `rNeymanScott`

.

fit <- kppm(redwood ~ x, "MatClust") clusterradius(fit) clusterradius("Thomas", scale = .1) clusterradius("Thomas", scale = .1, thresh = 0.001) clusterradius("VarGamma", scale = .1, nu = 2, precision = TRUE)

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