# print.ppm

##### Print a Fitted Point Process Model

Default `print`

method for a fitted point process model.

##### Usage

```
# S3 method for ppm
print(x,…,
what=c("all", "model", "trend", "interaction", "se", "errors"))
```

##### Arguments

- x
A fitted point process model, typically obtained from the model-fittingg algorithm

`ppm`

. An object of class`"ppm"`

.- what
Character vector (partially-matched) indicating what information should be printed.

- …
Ignored.

##### Details

This is the `print`

method for the class `"ppm"`

.
It prints information about the fitted model in a sensible format.

The argument `what`

makes it possible to print only some
of the information.

If `what`

is missing, then by default,
standard errors for the estimated coefficients of the model
will be printed only if the model is a Poisson point process.
To print the standard errors for a non-Poisson model,
call `print.ppm`

with the argument `what`

given explicitly,
or reset the default rule by typing
`spatstat.options(print.ppm.SE="always")`

.

##### Value

none.

##### See Also

`ppm.object`

for details of the class `"ppm"`

.

`ppm`

for generating these objects.

##### Examples

```
# NOT RUN {
# }
# NOT RUN {
m <- ppm(cells, ~1, Strauss(0.05))
m
# }
```

*Documentation reproduced from package spatstat, version 1.60-1, License: GPL (>= 2)*