R: Print a Fitted Point Process Model

print.ppm {spatstat.core} | R Documentation

## Print a Fitted Point Process Model

### Description

Default `print` method for a fitted point process model.

### Usage

     ## S3 method for class 'ppm'
    print(x,...,
         what=c("all", "model", "trend", "interaction", "se", "errors"))

### Arguments

`x` | A fitted point process model, typically obtained from the model-fittingg algorithm `ppm`. An object of class `"ppm"`.
`what` | Character vector (partially-matched) indicating what information should be printed.
`...` | Ignored.

### Details

This is the `print` method for the class `"ppm"`. It prints information about the fitted model in a sensible format.

The argument `what` makes it possible to print only some of the information.

If `what` is missing, then by default, standard errors for the estimated coefficients of the model will be printed only if the model is a Poisson point process. To print the standard errors for a non-Poisson model, call `print.ppm` with the argument `what` given explicitly, or reset the default rule by typing `spatstat.options(print.ppm.SE="always")`.

### Value

none.

### Author(s)

Adrian Baddeley Adrian.Baddeley@curtin.edu.au

and Rolf Turner r.turner@auckland.ac.nz

### See Also

`ppm.object` for details of the class `"ppm"`.

`ppm` for generating these objects.

`plot.ppm`, `predict.ppm`

### Examples

     # m <- ppm(cells ~1, Strauss(0.05))
     # m

[Package spatstat.core version 2.3-0 Index]