R: Plot a Fitted Spatial Logistic Regression

plot.slrm {spatstat.core} | R Documentation

## Plot a Fitted Spatial Logistic Regression

### Description

Plots a fitted Spatial Logistic Regression model.

### Usage

      ## S3 method for class 'slrm'
    plot(x, ..., type = "intensity")

### Arguments

`x` | a fitted spatial logistic regression model. An object of class `"slrm"`.
`...` | Extra arguments passed to `plot.im` to control the appearance of the plot.
`type` | Character string (partially) matching one of `"probabilities"`, `"intensity"` or `"link"`.

### Details

This is a method for `plot` for fitted spatial logistic regression models (objects of class `"slrm"`, usually obtained from the function `slrm`).

This function plots the result of `predict.slrm`.

### Value

None.

### Author(s)

Adrian Baddeley Adrian.Baddeley@curtin.edu.au adrian@maths.uwa.edu.au

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

### See Also

`slrm`, `predict.slrm`, `plot.im`

### Examples

       data(copper)
       X <- copper$SouthPoints
       Y <- copper$SouthLines
       Z <- distmap(Y)
       fit <- slrm(X ~ Z)
       plot(fit)
       plot(fit, type="link")

[Package spatstat.core version 2.3-1 Index]