# print.ppm

From spatstat v1.41-1
by Adrian Baddeley

##### Print a Fitted Point Process Model

Default `print`

method for a fitted point process model.

##### Usage

```
## S3 method for class 'ppm':
print(x,\dots,
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.
`plot.ppm`

,
`predict.ppm`

##### Examples

```
m <- ppm(cells, ~1, Strauss(0.05))
m
```

*Documentation reproduced from package spatstat, version 1.41-1, License: GPL (>= 2)*

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