R: Summarizing a Fitted Determinantal Point Process Model

summary.dppm {spatstat.core} | R Documentation

## Summarizing a Fitted Determinantal Point Process Model

### Description

`summary` method for class `"dppm"`.

### Usage

      ## S3 method for class 'dppm'
    summary(object, ..., quick=FALSE)

      ## S3 method for class 'summary.dppm'
    print(x, ...)

### Arguments

`object` | A fitted determinantal point process model (object of class `"dppm"`).
`quick` | Logical value controlling the scope of the summary.
`...` | Arguments passed to `summary.ppm` or `print.summary.ppm` controlling the treatment of the trend component of the model.
`x` | Object of class `"summary.dppm"` as returned by `summary.dppm`.

### Details

This is a method for the generic `summary` for the class `"dppm"`. An object of class `"dppm"` describes a fitted determinantal point process model. See `dppm`.

`summary.dppm` extracts information about the type of model that has been fitted, the data to which the model was fitted, and the values of the fitted coefficients.

`print.summary.dppm` prints this information in a comprehensible format.

In normal usage, `print.summary.dppm` is invoked implicitly when the user calls `summary.dppm` without assigning its value to anything. See the examples.

### Value

`summary.dppm` returns an object of class `"summary.dppm"`, while `print.summary.dppm` returns `NULL`.

The result of `summary.dppm` includes at least the following components:

`Xname` | character string name of the original point pattern data
`stationary` | logical value indicating whether the model is stationary
`trend` | Object of class `summary.ppm` summarising the trend
`repul` | Repulsiveness index

### Author(s)

Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner r.turner@auckland.ac.nz and Ege Rubak rubak@math.aau.dk

### Examples

      jpines <- residualspaper$Fig1

     fit <- dppm(jpines ~ 1, dppGauss)
     summary(fit)

[Package spatstat.core version 1.65-5 Index]