Conformal Prediction for Nonparametric Functional Regression

Usage

conformal.fregre.np(
  fdataobj,
  y,
  newdata,
  scalar.train = NULL,
  scalar.test = NULL,
  h.func = 0,
  h.scalar = 0,
  cal.fraction = 0.25,
  alpha = 0.1,
  seed = NULL
)

Arguments

fdataobj: An object of class 'fdata' (training data).
y: Response vector (training).
newdata: An object of class 'fdata' (test data).
scalar.train: Optional scalar covariates for training.
scalar.test: Optional scalar covariates for test.
h.func: Functional bandwidth (0 for auto).
h.scalar: Scalar bandwidth (0 for auto).
cal.fraction: Fraction of data for calibration (default 0.25).
alpha: Miscoverage level (default 0.1).
seed: Random seed.

Value

Same as conformal.fregre.lm.

Examples

# \donttest{
fd <- fdata(matrix(rnorm(500), 50, 10), argvals = seq(0, 1, length.out = 10))
y <- rnorm(50)
cp <- conformal.fregre.np(fd[1:40, ], y[1:40], fd[41:50, ])
# }