# relrisk

##### Estimate of Spatially-Varying Relative Risk

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

- Keywords
- spatial

##### 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.

##### See Also

*Documentation reproduced from package spatstat, version 1.61-0, License: GPL (>= 2)*