Computes leverage, Cook's distance, and related diagnostics.
Usage
fregre.influence(model, data)
Arguments
- model
A fitted fregre.lm model.
- data
An fdata object (the training data).
Value
A list with leverage, cooks_distance, p, and mse.
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.influence(fit, fd)
# }