# S3 method for svyglm
tidy(x, conf.int = FALSE, conf.level = 0.95,
exponentiate = FALSE, ...)

## Arguments

x |
A `svyglm` object returned from `survey::svyglm()` . |

conf.int |
Logical indicating whether or not to include a confidence
interval in the tidied output. Defaults to `FALSE` . |

conf.level |
The confidence level to use for the confidence interval
if `conf.int = TRUE` . Must be strictly greater than 0 and less than 1.
Defaults to 0.95, which corresponds to a 95 percent confidence interval. |

exponentiate |
Logical indicating whether or not to exponentiate the
the coefficient estimates. This is typical for logistic and multinomial
regressions, but a bad idea if there is no log or logit link. Defaults
to `FALSE` . |

... |
Additional arguments. Not used. Needed to match generic
signature only. **Cautionary note:** Misspelled arguments will be
absorbed in `...` , where they will be ignored. If the misspelled
argument has a default value, the default value will be used.
For example, if you pass `conf.lvel = 0.9` , all computation will
proceed using `conf.level = 0.95` . Additionally, if you pass
`newdata = my_tibble` to an `augment()` method that does not
accept a `newdata` argument, it will use the default value for
the `data` argument. |

## See also

`tidy()`

, `tidy.lm()`

`survey::svyglm()`

, `stats::glm()`

Other lm tidiers: `augment.glm`

,
`augment.lm`

, `glance.glm`

,
`glance.lm`

, `glance.svyglm`

,
`tidy.glm`

, `tidy.lm.beta`

,
`tidy.lm`

, `tidy.mlm`