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: 2026-07-22 08:11:56 UTC; root
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: https://cran.r-universe.dev
Date/Publication: 2026-04-23 22:05:20 UTC
RemoteUrl: https://github.com/cran/fdclassify
RemoteRef: HEAD
RemoteSha: 76e1e87fbc10d2b32cd41f8863afd6c0ec90b53f