Package: fdclassify
Title: Supervised Classification for Functional Data via Signed Depth
Version: 0.1.0
Authors@R: c(
    person("Diego Andrés", "Pérez Ruiz",
           email = "diego.perezruiz@manchester.ac.uk",
           role  = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-9969-6065")),
    person("Peter", "Foster",
           role  = "ths"))
Description: Provides a suite of supervised classifiers for functional data
    based on the concept of signed depth. The core pipeline computes
    Fraiman-Muniz (FM) functional depth in either its Tukey or Simplicial
    variant, derives a signed depth by comparing each curve to a reference
    median curve via the signed distance integral, and feeds the resulting
    scalar summary into several classifiers: the k-Ranked Nearest Neighbour
    (k-RNN) rule, a moving-average smoother, a kernel-density Bayes rule,
    logistic regression on signed depth and distance to the mode, and a
    generalised additive model (GAM) classifier. Cross-validation routines
    for tuning the neighbourhood size k and parametric bootstrap confidence
    intervals are also included.
License: GPL-3
Encoding: UTF-8
Language: en-GB
RoxygenNote: 7.3.1
Depends: R (>= 4.1.0)
Imports: stats, graphics, mgcv, modeest
Suggests: testthat (>= 3.0.0), spelling, knitr, rmarkdown
Config/testthat/edition: 3
URL: https://github.com/dapr12/fdclassify
BugReports: https://github.com/dapr12/fdclassify/issues
NeedsCompilation: no
Packaged: 2026-04-22 14:53:05 UTC; mbbxkdp3
Author: Diego Andrés Pérez Ruiz [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-9969-6065>),
  Peter Foster [ths]
Maintainer: Diego Andrés Pérez Ruiz <diego.perezruiz@manchester.ac.uk>
Repository: CRAN
Date/Publication: 2026-04-23 20:10:03 UTC
