tidy.negbin: Tidy a(n) negbin object

In tidymodels/broom: Convert Statistical Objects into Tidy Tibbles

Tidy a(n) negbin object

Description

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.

Usage

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

Arguments

x	A glm.nb object returned by MASS::glm.nb().
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.
...	For tidy(), additional arguments passed to summary(). Otherwise ignored.

See Also

MASS::glm.nb()

Other glm.nb tidiers: glance.negbin()

Examples

# load libraries for models and data
library(MASS)

# fit model
r <- glm.nb(Days ~ Sex / (Age + Eth * Lrn), data = quine)

# summarize model fit with tidiers
tidy(r)
glance(r)

tidymodels/broom documentation built on Nov. 11, 2024, 7:34 a.m.