add_vif: Add Variance Inflation Factor

In gtsummary: Presentation-Ready Data Summary and Analytic Result Tables

Description

\lifecycle

maturing Add the variance inflation factor (VIF) or generalized VIF (GVIF) to the regression table. Function uses car::vif() to calculate the VIF.

Usage

add_vif(x, statistic = NULL, estimate_fun = NULL)

Arguments

x	'tbl_regression' object
statistic	"VIF" (variance inflation factors, for models with no categorical terms) or one of/combination of "GVIF" (generalized variance inflation factors), "aGVIF" 'adjusted GVIF, i.e. GVIF^[1/(2*df)] and/or "df" (degrees of freedom). See car::vif() for details.
estimate_fun	Default is style_sigfig().

Example Output

Example 1

Example 2

Examples

# Example 1 ----------------------------------
add_vif_ex1 <-
  lm(age ~ grade + marker, trial) %>%
  tbl_regression() %>%
  add_vif()

# Example 2 ----------------------------------
add_vif_ex2 <-
  lm(age ~ grade + marker, trial) %>%
  tbl_regression() %>%
  add_vif(c("aGVIF", "df"))

gtsummary documentation built on Oct. 16, 2021, 5:09 p.m.