add_vif: Add Variance Inflation Factor

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

Add Variance Inflation Factor

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

See Also

Review list, formula, and selector syntax used throughout gtsummary

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 July 26, 2023, 5:27 p.m.