Conformal Prediction for Elastic Logistic Regression

Conformal Prediction for Elastic Logistic Regression

Usage

conformal.elastic.logistic(
  fdataobj,
  y,
  newdata,
  lambda = 0,
  score.type = c("lac", "aps"),
  cal.fraction = 0.25,
  alpha = 0.1,
  seed = NULL
)

Arguments

fdataobj

An object of class 'fdata' (training data).

y

Binary response (0/1).

newdata

An object of class 'fdata' (test data).

lambda

Regularization parameter (default 0).

score.type

Nonconformity score: "lac" or "aps".

cal.fraction

Calibration fraction (default 0.25).

alpha

Miscoverage level (default 0.1).

seed

Random seed.

Value

Same as conformal.classif.

Examples

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