R: Model Formulae for Gibbs Point Process Models

formula.ppm {spatstat.core} | R Documentation

## Model Formulae for Gibbs Point Process Models

### Description

Extract the trend formula, or the terms in the trend formula, in a fitted Gibbs point process model.

### Usage

    ## S3 method for class 'ppm'
    formula(x, ...)
    ## S3 method for class 'ppm'
    terms(x, ...)

### Arguments

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

### Details

These functions are methods for the generic commands `formula` and `terms` for the class `"ppm"`.

An object of class `"ppm"` represents a fitted Poisson or Gibbs point process model. It is obtained from the model-fitting function `ppm`.

The method `formula.ppm` extracts the trend formula from the fitted model `x` (the formula originally specified as the argument `trend` to `ppm`). The method `terms.ppm` extracts the individual terms in the trend formula.

### Value

See the help files for the corresponding generic functions.

### Author(s)

Adrian Baddeley Adrian.Baddeley@curtin.edu.au

### See Also

`ppm`, `as.owin`, `coef.ppm`, `extractAIC.ppm`, `fitted.ppm`, `logLik.ppm`, `model.frame.ppm`, `model.matrix.ppm`, `plot.ppm`, `predict.ppm`, `residuals.ppm`, `simulate.ppm`, `summary.ppm`, `update.ppm`, `vcov.ppm`.

### Examples

      data(cells)
      fit <- ppm(cells, ~x)
      formula(fit)
      terms(fit)

[Package spatstat.core version 1.65-5 Index]