R: Estimate of Spatially-Varying Relative Risk

relrisk {spatstat} | R Documentation

## Estimate of Spatially-Varying Relative Risk

### Description

Generic command to estimate the spatially-varying probability of each type of point, or the ratios of such probabilities.

### Usage

      relrisk(X, ...)

### Arguments

`X` | Either a point pattern (class `"ppp"`) or a fitted point process model (class `"ppm"`) from which the probabilities will be estimated.
`...` | Additional arguments appropriate to the method.

### Details

In a point pattern containing several different types of points, we may be interested in the spatially-varying probability of each possible type, or the relative risks which are the ratios of such probabilities.

The command `relrisk` is generic and can be used to estimate relative risk in different ways.

The function `relrisk.ppp` is the method for point pattern datasets. It computes nonparametric estimates of relative risk by kernel smoothing.

The function `relrisk.ppm` is the method for fitted point process models (class `"ppm"`). It computes parametric estimates of relative risk, using the fitted model.

### Author(s)

Adrian Baddeley Adrian.Baddeley@curtin.edu.au

Rolf Turner r.turner@auckland.ac.nz

and Ege Rubak rubak@math.aau.dk

### See Also

`relrisk.ppp`, `relrisk.ppm`.

[Package spatstat version 1.63-3 Index]