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CRAN: Package manydist

manydist: Distance-Based Learning for Mixed-Type Data

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) <doi:10.1080/10618600.2026.2680181> and related work on categorical and mixed-type dissimilarities.

Version: 0.5.0
Depends: R (≥ 4.5.0)
Imports: aricode, cluster, clusterGeneration, data.table, dials, distances, dplyr, entropy, fastDummies, forcats, fpc, generics, ggplot2, kdml, magrittr, Matrix, parsnip, philentropy, purrr, readr, recipes, Rfast, rlang, rsample, stats, tibble, tidyr, tidyselect, tune
Suggests: arules, clustMixType, FD, klaR, mclust, palmerpenguins, parallelDist, StatMatch, workflows
Published: 2026-06-09
DOI: 10.32614/CRAN.package.manydist
Author: Alfonso Iodice D'Enza [aut, cre], Angelos Markos [aut], Michel van de Velden [aut], Carlo Cavicchia [aut]
Maintainer: Alfonso Iodice D'Enza <iodicede at unina.it>
License: GPL-3
NeedsCompilation: no
Citation: manydist citation info
Materials: NEWS
CRAN checks: manydist results

Documentation:

Reference manual: manydist.html , manydist.pdf

Downloads:

Package source: manydist_0.5.0.tar.gz
Windows binaries: r-devel: manydist_0.5.0.zip, r-release: manydist_0.4.9.zip, r-oldrel: manydist_0.5.0.zip
macOS binaries: r-release (arm64): manydist_0.5.0.tgz, r-oldrel (arm64): manydist_0.5.0.tgz, r-release (x86_64): manydist_0.5.0.tgz, r-oldrel (x86_64): manydist_0.5.0.tgz
Old sources: manydist archive

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