# simulate.slrm

##### Simulate a Fitted Spatial Logistic Regression Model

Generates simulated realisations from a fitted spatial logistic regresson model

##### Usage

```
# S3 method for slrm
simulate(object, nsim = 1, seed=NULL, ...,
window=NULL, covariates=NULL, verbose=TRUE, drop=FALSE)
```

##### Arguments

- object
Fitted spatial logistic regression model. An object of class

`"slrm"`

.- nsim
Number of simulated realisations.

- seed
an object specifying whether and how to initialise the random number generator. Either

`NULL`

or an integer that will be used in a call to`set.seed`

before simulating the point patterns.- …
Ignored.

- window
Optional. Window (object of class

`"owin"`

) in which the model should be simulated.- covariates
Optional. A named list containing new values for the covariates in the model.

- verbose
Logical. Whether to print progress reports (when

`nsim > 1`

).- drop
Logical. If

`nsim=1`

and`drop=TRUE`

, the result will be a point pattern, rather than a list containing a point pattern.

##### Details

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

for the class `"slrm"`

of fitted
spatial logistic regression models.

Simulations are performed by `rpoispp`

after the intensity has been computed by `predict.slrm`

.

The return value is a list of point patterns.
It also carries an attribute `"seed"`

that
captures the initial state of the random number generator.
This follows the convention used in
`simulate.lm`

(see `simulate`

).
It can be used to force a sequence of simulations to be
repeated exactly, as shown in the examples for `simulate`

.

##### Value

A list of length `nsim`

containing simulated point patterns
(objects of class `"ppp"`

).

The return value also carries an attribute `"seed"`

that
captures the initial state of the random number generator.
See Details.

##### See Also

##### Examples

```
# NOT RUN {
X <- copper$SouthPoints
fit <- slrm(X ~ 1)
simulate(fit, 2)
fitxy <- slrm(X ~ x+y)
simulate(fitxy, 2, window=square(2))
# }
```

*Documentation reproduced from package spatstat, version 1.52-1, License: GPL (>= 2)*