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

`relrisk(X, ...)`

A pixel image, or a list of pixel images, or a numeric vector or matrix, containing the requested estimates of relative risk.

- 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.

Adrian Baddeley Adrian.Baddeley@curtin.edu.au, Rolf Turner r.turner@auckland.ac.nz and Ege Rubak rubak@math.aau.dk.

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.

`relrisk.ppp`

,
`relrisk.ppm`

.