Nothing
context("Internal Auction Functions")
library(rai)
# VIF setup ---------------------------------------------------------------
n = m = 10; p = 1
X = cbind(1, as.matrix(rnorm(n)))
x = as.matrix(rnorm(n))
y = as.matrix(X[,2] + rnorm(n))
res = as.matrix(resid(lm(y~X)))
TSS = var(y)*(n-1)
# VIF tests ---------------------------------------------------------------
test_that("vif returns appropriate values, including under multicollinearity", {
vifOut = vif(res, y, X, x, n, p, m, TSS, lmFit = .lm.fit)
expect_equal(c(vifOut$rS), c(summary(lm(y~X+x))$r.squared))
expect_equal(c(vifOut$rho), 1/(1 - summary(lm(x~X))$r.squared))
x = X[ , 2, drop=F]
vifOut = vif(res, y, X, x, n, p, m, TSS, lmFit = .lm.fit)
expect_equal(c(vifOut$rS), c(summary(lm(y~X))$r.squared))
expect_equal(vifOut$rho, 10^2)
m = 5
# has to subsample here
vifOut = vif(res, y, X, x, n, p, m, TSS, lmFit = .lm.fit)
})
# should have test for rS>=0; actually, left negative, put bound elsewhere
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