Package: qVarSel
Type: Package
Title: Select Variables for Optimal Clustering
Version: 1.2
Date: 2025-04-14
Authors@R: person(given = "Stefano",
                    family = "Benati",
                    role = c("aut", "cre"),
                    email = "stefano.benati@unitn.it",
                    comment = c(ORCID = " 0000-0002-1928-5224"))
Description: Finding hidden clusters in structured data can be hindered
        by the presence of masking variables. If not detected, masking
        variables are used to calculate the overall similarities
        between units, and therefore the cluster attribution is more
        imprecise. The algorithm q-vars implements an optimization
        method to find the variables that most separate units between
        clusters. In this way, masking variables can be discarded from
        the data frame and the clustering is more accurate. Tests can
        be found in Benati et al.(2017)
        <doi:10.1080/01605682.2017.1398206>.
License: GPL (>= 2)
Imports: Rcpp (>= 1.0.13), lpSolveAPI
Suggests: mclust
LinkingTo: Rcpp
RoxygenNote: 7.3.2
NeedsCompilation: yes
Packaged: 2026-10-18 09:24:39 UTC; root
Author: Stefano Benati [aut, cre]
        (<https://orcid.org/0000-0002-1928-5224>)
Maintainer: Stefano Benati <stefano.benati@unitn.it>
Repository: https://stefanobenati.r-universe.dev
Date/Publication: 2025-04-17 07:10:02 UTC
RemoteUrl: https://github.com/cran/qVarSel
RemoteRef: HEAD
RemoteSha: 8dd9c3ac644ac120c6bb4e134016ef684dfc3c02