Plot feature importance — plot_importance • idiographic

Plot feature importance

Usage

plot_importance(
  x,
  model = NULL,
  scope = NULL,
  subject = NULL,
  n = 15,
  method = c("coefficient", "permutation"),
  repeats = 5L,
  ...
)

Arguments

x: An idiographic fit.
model, scope, subject: Optional filters.
n: Number of rows/variables to plot.
method: Importance method. "coefficient" uses absolute fitted coefficients where available; "permutation" measures the increase in held-out prediction error after shuffling a predictor.
repeats: Number of shuffles per predictor for permutation importance.
...: Passed to base plotting functions.

Value

Invisibly, the plotted importance table.