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The nsim argument (which will default to 1) enables multiple replications of shuffling each feature to reduce Monte Carlo error and help stabilize results from run to run (and maybe even produce standard deviations?).
imp<- vi_permute(fit, nsim=10, ...)
The text was updated successfully, but these errors were encountered:
The
nsim
argument (which will default to1
) enables multiple replications of shuffling each feature to reduce Monte Carlo error and help stabilize results from run to run (and maybe even produce standard deviations?).The text was updated successfully, but these errors were encountered: