# ranef.mppm

##### Extract Random Effects from Point Process Model

Given a point process model fitted to a list of point patterns,
extract the fixed effects of the model.
A method for `ranef`

.

##### Usage

```
# S3 method for mppm
ranef(object, …)
```

##### Arguments

- object
A fitted point process model (an object of class

`"mppm"`

).- …
Ignored.

##### Details

This is a method for the generic function `ranef`

.

The argument `object`

must be a fitted point process model
(object of class `"mppm"`

) produced by the
fitting algorithm `mppm`

). This represents a
point process model that has been fitted
to a list of several point pattern datasets. See `mppm`

for information.

This function extracts the coefficients of the random effects of the model.

##### Value

A data frame, or list of data frames, as described in the help for
`ranef.lme`

.

##### References

Baddeley, A., Rubak, E. and Turner, R. (2015)
*Spatial Point Patterns: Methodology and Applications with R*.
London: Chapman and Hall/CRC Press.

##### See Also

##### Examples

```
# NOT RUN {
H <- hyperframe(Y = waterstriders)
# Tweak data to exaggerate differences
H$Y[[1]] <- rthin(H$Y[[1]], 0.3)
m1 <- mppm(Y ~ id, data=H, Strauss(7))
ranef(m1)
m2 <- mppm(Y ~ 1, random=~1|id, data=H, Strauss(7))
ranef(m2)
# }
```

*Documentation reproduced from package spatstat, version 1.49-0, License: GPL (>= 2)*