Permutation importance respecting correlations between components.
Usage
fregre.conditional.importance(
model,
data,
y,
n.bins = 5,
n.perm = 100,
seed = NULL
)
Arguments
- model
A fitted fregre.lm or fregre.logistic model.
- data
An fdata object.
- y
Response vector.
- n.bins
Number of conditional bins (default 5).
- n.perm
Number of permutations (default 100).
- seed
Random seed.
Value
A list with importance, baseline_metric, and
unconditional_importance.
Examples
# \donttest{
fd <- fdata(matrix(rnorm(500), nrow = 50), argvals = seq(0, 1, length.out = 10))
y <- rnorm(50)
fit <- fregre.lm(fd, y, ncomp = 3)
result <- fregre.conditional.importance(fit, fd, y)
# }