vimp_se {vimp} | R Documentation |
Estimate variable importance standard errors
Description
Compute standard error estimates for estimates of variable importance.
Usage
vimp_se(
eif_full,
eif_reduced,
cross_fit = TRUE,
sample_split = TRUE,
na.rm = FALSE
)
Arguments
eif_full |
the estimated efficient influence function (EIF) based on the full set of covariates. |
eif_reduced |
the estimated EIF based on the reduced set of covariates. |
cross_fit |
logical; was cross-fitting used to compute the EIFs?
(defaults to |
sample_split |
logical; was sample-splitting used? (defaults to |
na.rm |
logical; should NA's be removed in computation?
(defaults to |
Details
See the paper by Williamson, Gilbert, Simon, and Carone for more details on the mathematics behind this function and the definition of the parameter of interest.
Value
The standard error for the estimated variable importance for the given group of left-out covariates.
[Package vimp version 2.3.3 Index]