augment.feglm {capybara} | R Documentation |
Broom Integration
Description
The provided broom
methods do the following:
-
augment
: Takes the input data and adds additional columns with the fitted values and residuals. -
glance
: Extracts the deviance, null deviance, and the number of observations.' -
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]