# summary.kppm

##### Summarizing a Fitted Cox or Cluster Point Process Model

`summary`

method for class `"kppm"`

.

##### Usage

```
## S3 method for class 'kppm':
summary(object, \dots, quick=FALSE)
``` ## S3 method for class 'summary.kppm':
print(x, \dots)

##### Arguments

- object
- A fitted Cox or cluster point process model (object of
class
`"kppm"`

). - quick
- Logical value controlling the scope of the summary.
- ...
- Arguments passed to
`summary.ppm`

or`print.summary.ppm`

controlling the treatment of the trend component of the model. - x
- Object of class
`"summary.kppm"`

as returned by`summary.kppm`

.

##### Details

This is a method for the generic `summary`

for the class `"kppm"`

. An object of class `"kppm"`

describes a fitted Cox or cluster point process model.
See `kppm`

.
`summary.kppm`

extracts information about the
type of model that has been fitted, the data to which the model was
fitted, and the values of the fitted coefficients.

`print.summary.kppm`

prints this information in a
comprehensible format.

In normal usage, `print.summary.kppm`

is invoked implicitly
when the user calls `summary.kppm`

without assigning its value
to anything. See the examples.

You can also type `coef(summary(object))`

to extract a table
of the fitted coefficients of the point process model `object`

together with standard errors and confidence limits.

##### Value

`summary.kppm`

returns an object of class`"summary.kppm"`

, while`print.summary.kppm`

returns`NULL`

.

##### Examples

```
fit <- kppm(redwood ~ 1, "Thomas")
summary(fit)
coef(summary(fit))
```

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