Package: Numero
Type: Package
Title: Statistical Framework to Define Subgroups in Complex Datasets
Version: 1.10.1
Date: 2025-09-12
Authors@R: c(person(given = "Song",
                    family = "Gao",
                    role = "aut"),
             person(given = "Stefan",
                    family = "Mutter",
                    role = "aut"),
             person(given = c("Aaron", "E."),
                    family = "Casey",
                    role = "aut"),
             person(given = "Ville-Petteri",
                    family = "Makinen",
                    role = c("aut", "cre"),
                    email = "vpmakine@gmail.com"))
Maintainer: Ville-Petteri Makinen <vpmakine@gmail.com>
Description: High-dimensional datasets that do not exhibit a clear
        intrinsic clustered structure pose a challenge to conventional
        clustering algorithms. For this reason, we developed an
        unsupervised framework that helps scientists to better subgroup
        their datasets based on visual cues, please see Gao S, Mutter
        S, Casey A, Makinen V-P (2019) Numero: a statistical framework
        to define multivariable subgroups in complex population-based
        datasets, Int J Epidemiology, 48:369-37,
        <doi:10.1093/ije/dyy113>. The framework includes the necessary
        functions to construct a self-organizing map of the data, to
        evaluate the statistical significance of the observed data
        patterns, and to visualize the results.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.0)
LinkingTo: Rcpp
VignetteBuilder: knitr, rmarkdown
Suggests: knitr, rmarkdown
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-06-17 08:11:45 UTC; root
Author: Song Gao [aut], Stefan Mutter [aut], Aaron E. Casey [aut],
        Ville-Petteri Makinen [aut, cre]
Repository: https://cran.r-universe.dev
Date/Publication: 2025-09-12 19:20:07 UTC
RemoteUrl: https://github.com/cran/Numero
RemoteRef: HEAD
RemoteSha: c10211c43677902e41ac3ab4c74cfbdc08320cd5