R: Extract Fixed Effects from Point Process Model

fixef.mppm {spatstat.core} | R Documentation

## Extract Fixed 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 `fixef`.

### Usage

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

### Arguments

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

### Details

This is a method for the generic function `fixef`.

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 fixed effects of the model.

### Value

A numeric vector of coefficients.

### 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.

### See Also

`coef.mppm`

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

[Package spatstat.core version 2.4-4 Index]