Computes DFBETAS (influence on each coefficient) and DFFITS
(influence on fitted values) for each observation.
Usage
fregre.dfbetas(model, data)
Arguments
- model
A fitted fregre.lm model.
- data
An fdata object (the training data).
Value
A list with dfbetas (matrix), dffits, studentized_residuals,
dfbetas_cutoff, and dffits_cutoff.
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.dfbetas(fit, fd)
# }