add_vif: Add Variance Inflation Factor

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

Add Variance Inflation Factor

Description

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 = label_style_sigfig(digits = 2))

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 label_style_sigfig(digits = 2).

See Also

Review list, formula, and selector syntax used throughout gtsummary

Examples

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

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

gtsummary documentation built on April 3, 2025, 10:18 p.m.