gvif

A model object with at least two explanatory variables

A description of the error distribution and link function to be
used in the model. It can take the value of <code>\code{gaussian}</code>, <code>\code{binomial}</code>,
<code>\code{poisson}</code>, and <code>\code{cox}</code>.

family

Get generalized variance inflation factor (GVIF) for each variable.
See Fox (1992) 10.1080/01621459.1992.10475190 for more details on how to calculate GVIF.

Implementation of penalized regression with second-generation p-values for variable
selection. The algorithm can handle linear regression, GLM, and Cox regression. S3 methods print(), summary(), coef(), predict(), and plot() are available for the algorithm. Technical details
can be found at Zuo et al. (2021) <doi:10.1080/00031305.2021.1946150>.

Yi Zuo

gvif: `gvif`: Get GVIF for each variable

Description

Usage

Arguments

Value