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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "fdclassify" in publications use:'
type: software
license: GPL-3.0-only
title: 'fdclassify: Supervised Classification for Functional Data via Signed Depth'
version: 0.1.0
doi: 10.32614/CRAN.package.fdclassify
abstract: '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.'
authors:
- family-names: Pérez Ruiz
  given-names: Diego Andrés
  email: diego.perezruiz@manchester.ac.uk
  orcid: https://orcid.org/0000-0002-9969-6065
repository: https://cran.r-universe.dev
repository-code: https://github.com/dapr12/fdclassify
commit: 76e1e87fbc10d2b32cd41f8863afd6c0ec90b53f
url: https://github.com/dapr12/fdclassify
date-released: '2026-04-23'
contact:
- family-names: Pérez Ruiz
  given-names: Diego Andrés
  email: diego.perezruiz@manchester.ac.uk
  orcid: https://orcid.org/0000-0002-9969-6065