# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "manydist" in publications use:' type: software license: GPL-3.0-only title: 'manydist: Unbiased Distances for Mixed-Type Data' version: 0.4.3 identifiers: - type: doi value: 10.32614/CRAN.package.manydist abstract: A comprehensive framework for calculating unbiased distances in datasets containing mixed-type variables (numerical and categorical). The package implements a general formulation that ensures multivariate additivity and commensurability, meaning that variables contribute equally to the overall distance regardless of their type, scale, or distribution. Supports multiple distance measures including Gower's distance, Euclidean distance, Manhattan distance, and various categorical variable distances such as simple matching, Eskin, occurrence frequency, and association-based distances. Provides tools for variable scaling (standard deviation, range, robust range, and principal component scaling), and handles both independent and association-based category dissimilarities. Implements methods to correct for biases that typically arise from different variable types, distributions, and number of categories. Particularly useful for cluster analysis, data visualization, and other distance-based methods when working with mixed data. Methods based on van de Velden et al. (2024) "Unbiased mixed variables distance". authors: - family-names: Iodice D'Enza given-names: Alfonso email: iodicede@gmail.com - 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@gmail.com - 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://amarkos.r-universe.dev commit: 94228bff2baf982238cb9f54e5bd10fbc1b00c8d date-released: '2025-02-12' contact: - family-names: Markos given-names: Angelos email: amarkos@gmail.com