Tidy a(n) rlm object

This method wraps tidy.lm().

# S3 method for rlm
tidy(x, ...)

Arguments

x	An `rlm` object returned by `MASS::rlm()`.
...	Arguments passed on to `tidy.lm` x An `lm` object created by `stats::lm()`. 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. quick Logical indiciating if the only the `term` and `estimate` columns should be returned. Often useful to avoid time consuming covariance and standard error calculations. Defaults to `FALSE`. 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`.

An rlm object returned by MASS::rlm().

...

Arguments passed on to tidy.lm

x: An lm object created by stats::lm().
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.
quick: Logical indiciating if the only the term and estimate columns should be returned. Often useful to avoid time consuming covariance and standard error calculations. Defaults to FALSE.
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.

For tidiers for models from the robust package see tidy.lmRob() and tidy.glmRob().