R: Coefficients of Fitted Spatial Logistic Regression Model

coef.slrm {spatstat.core} | R Documentation

## Coefficients of Fitted Spatial Logistic Regression Model

### Description

Extracts the coefficients (parameters) from a fitted Spatial Logistic Regression model.

### Usage

      ## S3 method for class 'slrm'
    coef(object, ...)

### Arguments

`object` | a fitted spatial logistic regression model. An object of class `"slrm"`.
`...` | Ignored.

### Details

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

It extracts the fitted canonical parameters, i.e.\ the coefficients in the linear predictor of the spatial logistic regression.

### Value

Numeric vector of coefficients.

### 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`

### Examples

      X <- rpoispp(42)
      fit <- slrm(X ~ x+y)
      coef(fit)

[Package spatstat.core version 2.0-0 Index]