Tidy summarizes information about the components of a model.
A model component might be a single term in a regression, a single
hypothesis, a cluster, or a class. Exactly what tidy considers to be a
model component varies across models but is usually self-evident.
If a model has several distinct types of components, you will need to
specify which components to return.

# S3 method for rqs
tidy(x, se.type = "rank", conf.int = FALSE, conf.level = 0.95, ...)

## Arguments

x |
An `rqs` object returned from `quantreg::rq()` . |

se.type |
Character specifying the method to use to calculate
standard errors. Passed to `quantreg::summary.rq()` `se` argument.
Defaults to `"rank"` . |

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. |

... |
Additional arguments passed to `quantreg::summary.rqs()` |

## Details

If `se.type = "rank"`

confidence intervals are calculated by
`summary.rq`

. When only a single predictor is included in the model,
no confidence intervals are calculated and the confidence limits are
set to NA.

## See also

## Value

A `tibble::tibble()`

with columns:

conf.highUpper bound on the confidence interval for the estimate.

conf.lowLower bound on the confidence interval for the estimate.

estimateThe estimated value of the regression term.

p.valueThe two-sided p-value associated with the observed statistic.

statisticThe value of a T-statistic to use in a hypothesis that the regression term is non-zero.

std.errorThe standard error of the regression term.

termThe name of the regression term.

quantileLinear conditional quantile.