R: Methods for Determinantal Point Process Models

methods.dppm {spatstat} | R Documentation

## Methods for Determinantal Point Process Models

### Description

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

### Usage

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

### Arguments

`x,object` | An object of class `"dppm"`, representing a fitted determinantal 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 `"dppm"`.

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

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

### Value

See the help files for the corresponding generic functions.

### Author(s)

Adrian Baddeley Adrian.Baddeley@curtin.edu.au

### See Also

`dppm`, `plot.dppm`, `predict.dppm`, `simulate.dppm`, `as.ppm.dppm`.

### Examples

      fit <- dppm(swedishpines ~ x + y, dppGauss())
      coef(fit)
      formula(fit)
      tf <- terms(fit)
      labels(fit)

[Package spatstat version 1.63-3 Index]