Computes regression depth for the fitted model and individual
observation score depths.
Usage
fregre.depth(model, data, y, n.boot = 100, seed = NULL)
Arguments
- model
A fitted fregre.lm or fregre.logistic model.
- data
An fdata object.
- y
Response vector.
- n.boot
Number of bootstrap resamples (default 100).
- seed
Random seed.
Value
A list with beta_depth, score_depths, mean_score_depth,
and n_boot_success.
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.depth(fit, fd, y)
# }