This function converts a `sim_slopes`

object into a
`huxtable`

object, making it suitable for use in external documents.

as_huxtable.sim_slopes(
x,
format = "{estimate} ({std.error})",
sig.levels = c(`***` = 0.001, `**` = 0.01, `*` = 0.05, `#` = 0.1),
digits = getOption("jtools-digits", 2),
conf.level = 0.95,
intercept = attr(x, "cond.int"),
int.format = format,
...
)

## Arguments

x |
The `sim_slopes()` object. |

format |
The method for sharing the slope and associated uncertainty.
Default is `"{estimate} ({std.error})"` . See the instructions for the
`error_format` argument of `export_summs()` for more on your
options. |

sig.levels |
A named vector in which the values are potential p value
thresholds and the names are significance markers (e.g., "*") for when
p values are below the threshold. Default is
`c(`***` = .001, `**` = .01, `*` = .05, `#` = .1)` . |

digits |
How many digits should the outputted table round to? Default
is 2. |

conf.level |
How wide the confidence interval should be, if it
is used. .95 (95% interval) is the default. |

intercept |
Should conditional intercepts be included? Default is
whatever the `cond.int` argument to `x` was. |

int.format |
If conditional intercepts were requested, how should
they be formatted? Default is the same as `format` . |

... |
Ignored. |

## Details

For more on what you can do with a `huxtable`

, see huxtable.