gtsummary (version 1.3.6)

tbl_regression_methods: Methods for tbl_regression

Description

Most regression models are handled by tbl_regression.default(), which uses broom::tidy() to perform initial tidying of results. There are, however, some model types that have modified default printing behavior. Those methods are listed below.

Usage

# S3 method for survreg
tbl_regression(
  x,
  tidy_fun = function(x, ...) broom::tidy(x, ...) %>% dplyr::filter(.data$term !=
    "Log(scale)"),
  ...
)

# S3 method for mira tbl_regression(x, tidy_fun = pool_and_tidy_mice, ...)

# S3 method for mipo tbl_regression(x, ...)

# S3 method for lmerMod tbl_regression( x, tidy_fun = function(x, ...) broom.mixed::tidy(x, ..., effects = "fixed"), ... )

# S3 method for glmerMod tbl_regression( x, tidy_fun = function(x, ...) broom.mixed::tidy(x, ..., effects = "fixed"), ... )

# S3 method for glmmTMB tbl_regression( x, tidy_fun = function(x, ...) broom.mixed::tidy(x, ..., effects = "fixed"), ... )

# S3 method for glmmadmb tbl_regression( x, tidy_fun = function(x, ...) broom.mixed::tidy(x, ..., effects = "fixed"), ... )

# S3 method for stanreg tbl_regression( x, tidy_fun = function(x, ...) broom.mixed::tidy(x, ..., effects = "fixed"), ... )

# S3 method for multinom tbl_regression(x, ...)

Arguments

x

Regression model object

tidy_fun

Option to specify a particular tidier function if the model is not a vetted model or you need to implement a custom method. Default is NULL

...

arguments passed to tbl_regression.default()

Methods

The default method for tbl_regression() model summary uses broom::tidy(x) to perform the initial tidying of the model object. There are, however, a few models that use modifications.

  • "survreg": The scale parameter is removed, broom::tidy(x) %>% dplyr::filter(term != "Log(scale)")

  • "multinom": This multinomial outcome is complex, with one line per covariate per outcome (less the reference group)

  • "lmerMod", "glmerMod", "glmmTMB", "glmmadmb", "stanreg": These mixed effects models use broom.mixed::tidy(x, effects = "fixed"). Specify tidy_fun = broom.mixed::tidy to print the random components.