This function is convenience wrapper for manually setting
options using `options()`

. This gives a handy way to, for instance,
set the arguments to be used in every call to `summ()`

in your
script/session.

To make the settings persist across sessions, you can run this in your
`.Rprofile`

file.

Note that arguments that do not apply (e.g., `robust`

for `merMod`

models)
are silently ignored when those types of models are used.

## Usage

```
set_summ_defaults(
digits = NULL,
model.info = NULL,
model.fit = NULL,
model.coefs = NULL,
pvals = NULL,
robust = NULL,
confint = NULL,
ci.width = NULL,
vifs = NULL,
conf.method = NULL,
table.format = NULL
)
```

## Arguments

- digits
An integer specifying the number of digits past the decimal to report in the output. Default is 2. You can change the default number of digits for all jtools functions with

`options("jtools-digits" = digits)`

where digits is the desired number.- model.info
Toggles printing of basic information on sample size, name of DV, and number of predictors.

- model.fit
Toggles printing of model fit statistics.

- model.coefs
Toggles printing of model coefficents.

- pvals
Show p values? If

`FALSE`

, these are not printed. Default is`TRUE`

.- robust
If not

`FALSE`

, reports heteroskedasticity-robust standard errors instead of conventional SEs. These are also known as Huber-White standard errors. There are several options provided by`sandwich::vcovHC()`

:`"HC0"`

,`"HC1"`

,`"HC2"`

,`"HC3"`

,`"HC4"`

,`"HC4m"`

,`"HC5"`

.Default is

`FALSE`

.This requires the

`sandwich`

package to compute the standard errors.- confint
Show confidence intervals instead of standard errors? Default is

`FALSE`

.- ci.width
A number between 0 and 1 that signifies the width of the desired confidence interval. Default is

`.95`

, which corresponds to a 95% confidence interval. Ignored if`confint = FALSE`

.- vifs
If

`TRUE`

, adds a column to output with variance inflation factors (VIF). Default is`FALSE`

.- conf.method
Argument passed to

`lme4::confint.merMod()`

. Default is`"Wald"`

, but`"profile"`

or`"boot"`

are better when accuracy is a priority. Be aware that both of the alternate methods are sometimes very time-consuming.- table.format
A format understood by

`md_table()`