# methods.kppm

From spatstat v1.42-2
by Adrian Baddeley

##### Methods for Cluster Point Process Models

These are methods for the class `"kppm"`

.

##### Usage

```
## S3 method for class 'kppm':
coef(object, \dots)
## S3 method for class 'kppm':
formula(x, \dots)
## S3 method for class 'kppm':
print(x, ...)
## S3 method for class 'kppm':
terms(x, \dots)
## S3 method for class 'kppm':
labels(object, \dots)
```

##### Arguments

- x,object
- An object of class
`"kppm"`

, representing a fitted cluster point process model. - ...
- Arguments passed to other methods.

##### Details

These functions are methods for the generic commands
`coef`

,
`formula`

,
`print`

,
`terms`

and
`labels`

for the class `"kppm"`

.

An object of class `"kppm"`

represents a fitted
cluster point process model. It is obtained from `kppm`

.
The method `coef.kppm`

returns the vector of
*regression coefficients* of the fitted model.
It does not return the clustering parameters.

##### Value

- See the help files for the corresponding generic functions.

##### See Also

`kppm`

, `plot.kppm`

,
`predict.kppm`

, `simulate.kppm`

,
`update.kppm`

, `vcov.kppm`

,
`as.ppm.kppm`

.

##### Examples

```
data(redwood)
fit <- kppm(redwood, ~x, "MatClust")
coef(fit)
formula(fit)
tf <- terms(fit)
labels(fit)
```

*Documentation reproduced from package spatstat, version 1.42-2, License: GPL (>= 2)*

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