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print.ppm

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)

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

See Also

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

ppm for generating these objects.

Examples

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

spatstat.core

Core Functionality of the 'spatstat' Family

v2.1-2
GPL (>= 2)
Authors
Adrian Baddeley [aut, cre], Rolf Turner [aut], Ege Rubak [aut], Kasper Klitgaard Berthelsen [ctb], Achmad Choiruddin [ctb], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb], Julian Gilbey [ctb], Yongtao Guan [ctb], Ute Hahn [ctb], Kassel Hingee [ctb], Abdollah Jalilian [ctb], Marie-Colette van Lieshout [ctb], Greg McSwiggan [ctb], Tuomas Rajala [ctb], Suman Rakshit [ctb], Dominic Schuhmacher [ctb], Rasmus Plenge Waagepetersen [ctb], Hangsheng Wang [ctb]
Initial release
2021-04-17

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