Computes the partial dependence of the response on a specific FPC score,
along with ICE (Individual Conditional Expectation) curves.
Usage
fregre.pdp(model, data, component, n.grid = 20)
Arguments
- model
A fitted fregre.lm or fregre.logistic model.
- data
An fdata object (the training data).
- component
Which FPC component (1-based).
- n.grid
Number of grid points for the PDP (default 20).
Value
A list with grid_values, pdp_curve, ice_curves, and component.
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.pdp(fit, fd, component = 1)
# }