Package: hetcorFS
Type: Package
Title: Unsupervised Feature Selection using the Heterogeneous
        Correlation Matrix
Version: 1.0
Authors@R: c(person(given = "Cristina",
                      family = "Tortora",
                      role = c("aut", "cre", "fnd"),
                      email = "grikris1@gmail.com"),
               person(given = "Antonio",
                      family = "Punzo",
                      role = "aut"),
               person(given = "Shaam",
                      family = "Madhvani",
                      role = "aut"))
Description: Unsupervised multivariate filter feature selection using the UFS-rHCM or UFS-cHCM algorithms based on the heterogeneous correlation matrix (HCM). The HCM consists of Pearson's correlations between numerical features, polyserial correlations between numerical and ordinal features,  and polychoric correlations between ordinal features. Tortora C., Madhvani S., Punzo A. (2025). "Designing unsupervised mixed-type feature selection techniques using the heterogeneous correlation matrix." International Statistical Review. Forthcoming.
License: GPL-2
Imports: polycor, dplyr, cluster, graphics,psych
Depends: R (>= 3.5.0)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.1
NeedsCompilation: no
Packaged: 2025-10-23 09:22:44 UTC; cristina
Author: Cristina Tortora [aut, cre, fnd],
  Antonio Punzo [aut],
  Shaam Madhvani [aut]
Maintainer: Cristina Tortora <grikris1@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-28 08:40:02 UTC
Built: R 4.6.0; ; 2025-11-02 00:51:34 UTC; windows
