The summary method is designed to offer similar arguments to
`lavaan`

's summary, but with shorter and more domain-specific output.

```
# S4 method for dpm
summary(
object,
standardized = FALSE,
ci = FALSE,
se = TRUE,
zstat = TRUE,
pvalue = TRUE,
ci.level = 0.95,
boot.ci.type = c("perc", "norm", "basic", "bca.simple"),
digits = getOption("dpm-digits", 3),
...
)
```

## Arguments

- object
A `dpm`

object.

- standardized
Use `lavaan`

's method for standardizing coefficients?
Default is FALSE.

- ci
Show confidence intervals? Default is FALSE.

- se
Show standard errors? Default is TRUE.

- zstat
Show the z statistic? Default is TRUE.

- pvalue
Show p values? Default is TRUE.

- ci.level
How wide should the confidence intervals be? Ignored if
`ci`

is FALSE. Default is .95.

- boot.ci.type
If the model was fit with bootstrapped standard errors
and `ci`

is TRUE, which method should be used for finding the intervals?
Default is `"perc"`

.

- digits
How many digits should be printed in the model summary?
Default is 3. You can set a default by setting the option `"dpm-digits"`

.

- ...
Ignored.

## Value

Returns a `summary.dpm`

object, which is a list with three elements:

`model`

: The `dpm`

object.

`coefficients`

: A data frame containing coefficient estimates,
standard errors, p values, and so on.

`fitmeasures`

: A numeric vector containing model fit information.

The primary function of the object is to be printed to the console.