spatstat.core: ranef.mppm – R documentation

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ranef.mppm

Extract Random Effects from Point Process Model

Description

Given a point process model fitted to a list of point patterns, extract the fixed effects of the model. A method for ranef.

Usage

## S3 method for class 'mppm'
ranef(object, ...)

Arguments

`object`	A fitted point process model (an object of class `"mppm"`).
`...`	Ignored.

Details

This is a method for the generic function ranef.

The argument object must be a fitted point process model (object of class "mppm") produced by the fitting algorithm mppm). This represents a point process model that has been fitted to a list of several point pattern datasets. See mppm for information.

This function extracts the coefficients of the random effects of the model.

Value

A data frame, or list of data frames, as described in the help for ranef.lme.

Author(s)

Adrian Baddeley, Ida-Maria Sintorn and Leanne Bischoff. Implemented in spatstat by Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner r.turner@auckland.ac.nz and Ege Rubak rubak@math.aau.dk.

References

Baddeley, A., Rubak, E. and Turner, R. (2015) Spatial Point Patterns: Methodology and Applications with R. London: Chapman and Hall/CRC Press.

Examples

H <- hyperframe(Y = waterstriders)
 # Tweak data to exaggerate differences
 H$Y[[1]] <- rthin(H$Y[[1]], 0.3)

 m1 <- mppm(Y ~ id,  data=H, Strauss(7))
 ranef(m1)
 m2 <- mppm(Y ~ 1,  random=~1|id, data=H, Strauss(7))
 ranef(m2)

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