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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 "manydist" in publications use:'
type: software
license: GPL-3.0-only
title: 'manydist: Distance-Based Learning for Mixed-Type Data'
version: 0.5.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.manydist
abstract: Provides tools for constructing, computing, and using distance measures
  for numerical, categorical, and mixed-type data. The package implements a flexible
  framework in which continuous and categorical components can be combined under additive,
  commensurable, and association-aware specifications. Supported methods include classical
  distances such as Gower, Euclidean, Manhattan, and Mahalanobis-type distances; categorical
  dissimilarities such as simple matching, occurrence-frequency, and association-based
  measures; and mixed-type presets designed to reduce biases due to variable type,
  scale, distribution, redundancy, and number of categories. The package also provides
  scaling options, supervised and unsupervised distance constructions, leave-one-variable-out
  tools for distance-based variable importance, and integration with distance-based
  learning workflows such as nearest-neighbour prediction, partitioning around medoids,
  and spectral clustering. Methods are motivated by van de Velden, Iodice D'Enza,
  Markos, and Cavicchia (2026) <https://doi.org/10.1080/10618600.2026.2680181> and
  related work on categorical and mixed-type dissimilarities.
authors:
- family-names: Iodice D'Enza
  given-names: Alfonso
  email: iodicede@unina.it
- family-names: Markos
  given-names: Angelos
  email: amarkos@gmail.com
- family-names: Velden
  given-names: Michel
  name-particle: van de
- family-names: Cavicchia
  given-names: Carlo
preferred-citation:
  type: article
  title: (Un)biased Distances for Mixed-Type Data
  authors:
  - family-names: Velden
    given-names: Michel
    name-particle: van de
  - family-names: Iodice D'Enza
    given-names: Alfonso
    email: iodicede@unina.it
  - family-names: Markos
    given-names: Angelos
    email: amarkos@gmail.com
  - family-names: Cavicchia
    given-names: Carlo
  year: '2024'
  journal: arXiv preprint
  notes: Retrieved from https://arxiv.org/abs/2411.00429
  url: https://arxiv.org/abs/2411.00429
repository: https://alfonsoiodicede.r-universe.dev
commit: 16e6ceab71e3faecb805633e3f7806249f1782f6
date-released: '2026-06-09'
contact:
- family-names: Iodice D'Enza
  given-names: Alfonso
  email: iodicede@unina.it