residuals.rppm: Residuals for Recursively Partitioned Point Process Model

In spatstat.model: Parametric Statistical Modelling and Inference for the 'spatstat' Family

Residuals for Recursively Partitioned Point Process Model

Description

Given a point process model that was fitted to a point pattern by recursive partitioning (regression tree) methods, compute the residual measure.

Usage

  ## S3 method for class 'rppm'
residuals(object,
                           type=c("raw", "inverse", "Pearson"),
                           ...)

Arguments

object	The fitted point process model (an object of class "ppm") for which residuals should be calculated.
type	String (partially matched) indicating the type of residuals to be calculated.
...	Ignored.

Details

This function computes the residual measure for a point process model that was fitted to point pattern data by recursive partitioning of the covariates.

The argument object must be a fitted model object of class "rppm"). Such objects are created by the fitting algorithm rppm.

The type of residual is chosen by the argument type.

Value

A measure (object of class "msr").

Author(s)

\adrian

.

References

Baddeley, A., Turner, R., \Moller, J. and Hazelton, M. (2005) Residual analysis for spatial point processes. Journal of the Royal Statistical Society, Series B 67, 617–666.

Baddeley, A., \Moller, J. and Pakes, A.G. (2008) Properties of residuals for spatial point processes. Annals of the Institute of Statistical Mathematics 60, 627–649.

See Also

residuals.ppm

Examples

  fit <- rppm(bei ~ elev + grad, data=bei.extra)
  res <- residuals(fit)
  plot(res)

spatstat.model documentation built on Sept. 30, 2024, 9:26 a.m.