These are methods for the class `"kppm"`

.

```
# S3 method for kppm
coef(object, …)
# S3 method for kppm
formula(x, …)
# S3 method for kppm
print(x, ...)
# S3 method for kppm
terms(x, …)
# S3 method for kppm
labels(object, …)
```

x,object

An object of class `"kppm"`

,
representing a fitted cluster point process model.

…

Arguments passed to other methods.

See the help files for the corresponding generic functions.

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.

`kppm`

, `plot.kppm`

,
`predict.kppm`

, `simulate.kppm`

,
`update.kppm`

, `vcov.kppm`

,
`as.ppm.kppm`

.

# NOT RUN { data(redwood) fit <- kppm(redwood ~ x, "MatClust") coef(fit) formula(fit) tf <- terms(fit) labels(fit) # }