vif: Variance Inflation Factors

In rms: Regression Modeling Strategies

Variance Inflation Factors

Description

Computes variance inflation factors from the covariance matrix of parameter estimates, using the method of Davis et al. (1986), which is based on the correlation matrix from the information matrix.

Usage

vif(fit)

Arguments

fit	an object created by lrm, ols, psm, cph, Rq, Glm, glm

Value

vector of vifs

Author(s)

Frank Harrell
Department of Biostatistics
Vanderbilt University
[e-mail]

References

Davis CE, Hyde JE, Bangdiwala SI, Nelson JJ: An example of dependencies among variables in a conditional logistic regression. In Modern Statistical Methods in Chronic Disease Epidemiology, Eds SH Moolgavkar and RL Prentice, pp. 140–147. New York: Wiley; 1986.

See Also

rmsMisc (for num.intercepts

Examples

set.seed(1)
x1 <- rnorm(100)
x2 <- x1+.1*rnorm(100)
y  <- sample(0:1, 100, TRUE)
f  <- lrm(y ~ x1 + x2)
vif(f)

rms documentation built on Sept. 11, 2024, 7:51 p.m.