Returns the statistic (*t*, `z`

, ...) for model
estimates. In most cases, this is the related column from
`coef(summary())`

.

## Usage

```
get_statistic(x, ...)
# S3 method for default
get_statistic(x, column_index = 3, verbose = TRUE, ...)
# S3 method for glmmTMB
get_statistic(x, component = "all", ...)
# S3 method for emmGrid
get_statistic(x, ci = 0.95, adjust = "none", merge_parameters = FALSE, ...)
# S3 method for gee
get_statistic(x, robust = FALSE, ...)
```

## Arguments

- x
A model.

- ...
Currently not used.

- column_index
For model objects that have no defined

`get_statistic()`

method yet, the default method is called. This method tries to extract the statistic column from`coef(summary())`

, where the index of the column that is being pulled is`column_index`

. Defaults to 3, which is the default statistic column for most models' summary-output.- verbose
Toggle messages and warnings.

- component
String, indicating the model component for which parameters should be returned. The default for all models is

`"all"`

, which returns the requested information for all available model components. Furthermore, there are specific options depending on the model class.`component`

then may be one of:For zero-inflated models (

`gmmTMB`

,`hurdle`

,`zeroinfl`

, ...) can also be`"conditional"`

or`"zero-inflated"`

. Note that the*conditional*component is also called*count*or*mean*component, depending on the model.`glmmTMB`

also has a`"dispersion"`

component.For models with smooth terms,

`component = "smooth_terms"`

returns the test statistic for the smooth terms.For models of class

`mhurdle`

, may also be one of`"conditional"`

,`"zero_inflated"`

,`"infrequent_purchase"`

or`"auxiliary"`

.For models of class

`clm2`

or`clmm2`

, may also be`"scale"`

.For models of class

`betareg`

,`betaor`

or`betamfx`

, may also be`"precision"`

. For other`*mfx`

models (`logitmfx`

,`betamfx`

, ...), may also be`"marginal"`

.For models of class

`mvord`

, may also be`"thresholds"`

or`"correlation"`

.For models of class

`selection`

, may also be`"selection"`

,`"outcome"`

or`"auxiliary"`

.For models of class

`glmx`

, may also be`"extra"`

.For models of class

`averaging`

, may also be`"full"`

.

- ci
Confidence Interval (CI) level. Default to

`0.95`

(`95%`

). Currently only applies to objects of class`emmGrid`

.- adjust
Character value naming the method used to adjust p-values or confidence intervals. See

`?emmeans::summary.emmGrid`

for details.- merge_parameters
Logical, if

`TRUE`

and`x`

has multiple columns for parameter names (like`emmGrid`

objects may have), these are merged into a single parameter column, with parameters names and values as values.- robust
Logical, if

`TRUE`

, test statistic based on robust standard errors is returned.