Package: cmahalanobis
Type: Package
Title: Calculate Distance Measures for DataFrames
Version: 1.1.0
Date: 2026-09-23
Authors@R: person(given = "Flavio",
                  family = "Gioia",
                  role = c("aut", "cre"),
                  email = "flaviogioia.fg@gmail.com", comment = c(ORCID = "0009-0000-0326-3840"))
Maintainer: Flavio Gioia <flaviogioia.fg@gmail.com>
Description: It provides functions that calculate Mahalanobis distance,
        Euclidean distance, Manhattan distance, Chebyshev distance,
        Hamming distance, Canberra distance, Minkowski dissimilarity
        (distance defined for p >= 1), Cosine dissimilarity,
        Bhattacharyya dissimilarity, Jaccard distance, Hellinger
        distance, Bray-Curtis dissimilarity, Sorensen-Dice
        dissimilarity, Pearson, Kendall and Spearman dissimilarities
        and correlations (these last three on GitHub) between each pair
        of species in a list of data frames. These statistics are
        fundamental in various fields, such as cluster analysis,
        classification, and other applications of machine learning and
        data mining, where assessing similarity or dissimilarity
        between data is crucial. The package is designed to be flexible
        and easily integrated into data analysis workflows, providing
        reliable tools for evaluating distances in multidimensional
        contexts.
License: GPL-3
Encoding: UTF-8
Imports: stats, graphics, matrixStats
Suggests: rmarkdown, testthat (>= 3.0.0)
URL: https://github.com/Hflavio12/cmahalanobis
NeedsCompilation: no
Author: Flavio Gioia [aut, cre] (ORCID:
        <https://orcid.org/0009-0000-0326-3840>)
Config/roxygen2/version: 8.0.0
Repository: https://hflavio12.r-universe.dev
Date/Publication: 2026-10-09 12:56:05 UTC
RemoteUrl: https://github.com/hflavio12/cmahalanobis
RemoteRef: HEAD
RemoteSha: bb4c8bda12f21b96baa658ad234f3b47653f983b
Packaged: 2026-10-09 17:00:43 UTC; root