# simulate.mppm

##### Simulate a Point Process Model Fitted to Several Point Patterns

Generates simulated realisations from a point process model that was fitted to several point patterns.

##### Usage

```
# S3 method for mppm
simulate(object, nsim=1, …, verbose=TRUE)
```

##### Arguments

- object
Point process model fitted to several point patterns. An object of class

`"mppm"`

.- nsim
Number of simulated realisations (of each original pattern).

- …
Further arguments passed to

`simulate.ppm`

to control the simulation.- verbose
Logical value indicating whether to print progress reports.

##### Details

This function is a method for the generic function
`simulate`

for the class `"mppm"`

of fitted
point process models for replicated point pattern data.

The result is a hyperframe with `n`

rows and `nsim`

columns,
where `n`

is the number of original point pattern
datasets to which the model was fitted. Each column of the hyperframe
contains a simulated version of the original data.

For each of the original point pattern datasets, the
fitted model for this dataset is extracted using
`subfits`

, then `nsim`

simulated realisations
of this model are generated using `simulate.ppm`

,
and these are stored in the corresponding row of the output.

##### Value

A hyperframe.

##### See Also

##### Examples

```
# NOT RUN {
H <- hyperframe(Bugs=waterstriders)
fit <- mppm(Bugs ~ id, H)
y <- simulate(fit, nsim=2)
y
plot(y[1,,drop=TRUE], main="Simulations for Waterstriders pattern 1")
plot(y[,1,drop=TRUE], main="Simulation 1 for each Waterstriders pattern")
# }
```

*Documentation reproduced from package spatstat, version 1.55-1, License: GPL (>= 2)*