Examine variables most correlated with the outcome. Currently assumes that outcome is binary variable.
vim_corr(
covariates,
data,
outcome,
weights = rep(1, nrow(data)),
bootse = TRUE,
verbose = FALSE
)
Character vector listing the covariates to analyze.
Dataframe of covariates and outcome.
Outcome variable, assumed binary.
Optional observation weight vector.
Whether bootstrap standard errors should be used for inference.
If TRUE display extra information.