Tidy a(n) negbin object
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 'negbin' tidy(x, conf.int = FALSE, conf.level = 0.95, exponentiate = FALSE, ...)
| x | A  | 
| conf.int | Logical indicating whether or not to include a confidence
interval in the tidied output. Defaults to  | 
| conf.level | The confidence level to use for the confidence interval
if  | 
| 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  | 
| ... | Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in  | 
Other glm.nb tidiers: 
glance.negbin()
if (requireNamespace("MASS", quietly = TRUE)) {
library(MASS)
r <- glm.nb(Days ~ Sex/(Age + Eth*Lrn), data = quine)
tidy(r)
glance(r)
}Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.