R: Methods for Cluster Point Process Models

methods.kppm {spatstat} | R Documentation

## Methods for Cluster Point Process Models

### Description

These are methods for the class `"kppm"`.

### Usage

    ## S3 method for class 'kppm'
    coef(object, ...)
    ## S3 method for class 'kppm'
    formula(x, ...)
    ## S3 method for class 'kppm'
    print(x, ...)
    ## S3 method for class 'kppm'
    terms(x, ...)
    ## S3 method for class 'kppm'
    labels(object, ...)

### Arguments

`x,object` | An object of class `"kppm"`, representing a fitted cluster point process model.
`...` | Arguments passed to other methods.

### Details

These functions are methods for the generic commands `coef`, `formula`, `print`, `terms` and `labels` for the class `"kppm"`.

An object of class `"kppm"` represents a fitted cluster point process model. It is obtained from `kppm`.

The method `coef.kppm` returns the vector of regression coefficients of the fitted model. It does not return the clustering parameters.

### Value

See the help files for the corresponding generic functions.

### Author(s)

Adrian Baddeley Adrian.Baddeley@curtin.edu.au

### See Also

`kppm`, `plot.kppm`, `predict.kppm`, `simulate.kppm`, `update.kppm`, `vcov.kppm`, `as.ppm.kppm`.

### Examples

      data(redwood)
      fit <- kppm(redwood ~ x, "MatClust")
      coef(fit)
      formula(fit)
      tf <- terms(fit)
      labels(fit)

[Package spatstat version 1.54-0 Index]