Function fclassif_cv 

pub fn fclassif_cv(
    data: &FdMatrix,
    argvals: &[f64],
    y: &[usize],
    covariates: Option<&FdMatrix>,
    method: &str,
    ncomp: usize,
    nfold: usize,
    seed: u64,
) -> Option<ClassifCvResult>

K-fold cross-validated error rate for functional classification.

Arguments

• data — Functional data (n × m)
• argvals — Evaluation points
• y — Class labels
• covariates — Optional scalar covariates
• method — “lda”, “qda”, “knn”, “kernel”, “dd”
• ncomp — Number of FPC components (for lda/qda/knn)
• nfold — Number of CV folds
• seed — Random seed for fold assignment