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: 2025-04-14 13:35:21 UTC; stefanobenati
Author: Stefano Benati [aut, cre] (<https://orcid.org/0000-0002-1928-5224>)
Maintainer: Stefano Benati <stefano.benati@unitn.it>
Repository: CRAN
Date/Publication: 2025-04-17 07:10:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 00:58:35 UTC; unix
Archs: qVarSel.so.dSYM
