augment.feglm {capybara}R Documentation

Broom Integration

Description

The provided broom methods do the following:

  1. augment: Takes the input data and adds additional columns with the fitted values and residuals.

  2. glance: Extracts the deviance, null deviance, and the number of observations.'

  3. tidy: Extracts the estimated coefficients and their standard errors.

Usage

## S3 method for class 'feglm'
augment(x, newdata = NULL, ...)

## S3 method for class 'felm'
augment(x, newdata = NULL, ...)

## S3 method for class 'feglm'
glance(x, ...)

## S3 method for class 'felm'
glance(x, ...)

## S3 method for class 'feglm'
tidy(x, conf_int = FALSE, conf_level = 0.95, ...)

## S3 method for class 'felm'
tidy(x, conf_int = FALSE, conf_level = 0.95, ...)

Arguments

x

A fitted model object.

newdata

Optional argument to use data different from the data used to fit the model.

...

Additional arguments passed to the method.

conf_int

Logical indicating whether to include the confidence interval.

conf_level

The confidence level for the confidence interval.

Value

A tibble with the respective information for the augment, glance, and tidy methods.

Examples

mod <- fepoisson(mpg ~ wt | cyl, mtcars)
broom::augment(mod)
broom::glance(mod)
broom::tidy(mod)


[Package capybara version 1.0.1 Index]