Calibration Diagnostics (Logistic)

Computes calibration diagnostics for a functional logistic model: Brier score, log loss, and Hosmer-Lemeshow test.

Usage

fregre.calibration(model, y, n.groups = 10)

Arguments

model

A fitted functional logistic model.

y

True binary labels (0/1).

n.groups

Number of groups for reliability diagram (default 10).

Value

A list with brier_score, log_loss, hosmer_lemeshow_chi2, hosmer_lemeshow_df, n_groups, reliability_bins, and bin_counts.

Examples

# \donttest{
set.seed(42)
t_grid <- seq(0, 1, length.out = 30)
X <- matrix(0, 40, 30)
for (i in 1:40) X[i, ] <- sin(2*pi*t_grid) * (2*(i > 20) - 1) + rnorm(30, sd = 0.2)
fd <- fdata(X, argvals = t_grid)
y_bin <- as.numeric(1:40 > 20)
fit <- functional.logistic(fd, y_bin)
result <- fregre.calibration(fit, as.numeric(as.character(y_bin)))
# }