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Area Under the Variable Importance Trajectory

Source: R/lvim_autc.R
lvim_autc.Rd

Compute a nonparametric estimate of (and efficient influence function for) the area under the longitudinal variable importance trajectory (AUTC) over a contiguous subset of the time series.

Usage

lvim_autc(
  lvim,
  indices = 1:length(lvim),
  interpolator = "linear",
  delta = 0,
  ...
)

Arguments

lvim

an object of class lvim containing the cross-sectional variable importance objects

indices

a numeric vector indicating the contiguous subset of the time series

interpolator

a string indicating the type of interpolator used to take the area under the trajectory

delta

null hypothesis value

...

other arguments to be passed to the interpolator function

Value

The lvim object, with point estimates, CIs, and p-values related to the area under the trend in variable importance filled in.