Module classification 

Functional classification with mixed scalar/functional predictors.

Implements supervised classification for functional data using:

• fclassif_lda / fclassif_qda — FPC + LDA/QDA pipeline
• fclassif_knn — FPC + k-NN classifier
• fclassif_kernel — Nonparametric kernel classifier with mixed predictors
• fclassif_dd — Depth-based DD-classifier
• fclassif_cv — Cross-validated error rate

Structs

ClassifCvResult

Cross-validation result.

ClassifFit

A fitted classification model that retains FPCA components for explainability.

ClassifResult

Classification result.

Enums

ClassifMethod

Classification method with stored parameters for prediction.

Functions

fclassif_cv

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

fclassif_dd

fclassif_kernel

Nonparametric kernel classifier for functional data with optional scalar covariates.

fclassif_knn

FPC + k-NN classification.

fclassif_knn_fit

FPC + k-NN classification, retaining FPCA and training data for explainability.

fclassif_lda

FPC + LDA classification.

fclassif_lda_fit

FPC + LDA classification, retaining FPCA and LDA parameters for explainability.

fclassif_qda

FPC + QDA classification.

fclassif_qda_fit

FPC + QDA classification, retaining FPCA and QDA parameters for explainability.