calc_vif: Calculate the variance inflation factors (VIFs)

In suryakevin/drugcandy: Detecting Punctuated Evolution in Dinosaurs and Viruses

Calculate the variance inflation factors (VIFs)

Description

This function prints the variance inflation factors (VIFs) calculated using the vif function in the R package car to a text file. A VIF > 10 indicates significant multicollinearity. It means that the standard error for the beta or coefficient of the predictor in question is more than ten times higher than if the predictor is independent of the other predictors.

Usage

calc_vif(output_reg, file)

Arguments

output_reg	A list outputted from the fit_punc_model function
file	Output file directory

Value

This function outputs a text file containing the VIF for each predictor in the model.

Author(s)

Kevin Surya

References

Vittinghoff et al. (2011) Fox and Weisberg (2019)

suryakevin/drugcandy documentation built on May 6, 2022, 6:37 p.m.