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 class 'glm' tidy(x, conf.int = FALSE, conf.level = 0.95, exponentiate = FALSE, ...)
Logical indicating whether or not to include a confidence
interval in the tidied output. Defaults to
The confidence level to use for the confidence interval
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
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
Other lm tidiers:
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