Package: CDF
Type: Package
Title: Centroid Decision Forest for High-Dimensional Classification
Version: 0.1.0
Authors@R: c(
  person("Amjad", "Ali", email = "amjadali@uaeu.ac.ae",
         role = c("aut", "cre")),
  person("Saeed", "Aldahmani", role = "aut"),
  person("Zardad", "Khan", role = "aut")
  )
Description: Implements the Centroid Decision Forest (CDF) as a single user-facing
  function CDF(). The method selects discriminative features via a multi-class
  class separability score (CSS), splits by nearest class centroid, and aggregates
  tree votes to produce predictions and class probabilities. Returns CSS-based
  feature importance as well. Amjad Ali, Saeed Aldahmani, Zardad Khan (2025) <doi:10.48550/arXiv.2503.19306>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.6)
Imports: matrixStats, utils
NeedsCompilation: no
RoxygenNote: 7.3.3
Packaged: 2025-11-05 17:12:37 UTC; Admin
Author: Amjad Ali [aut, cre],
  Saeed Aldahmani [aut],
  Zardad Khan [aut]
Maintainer: Amjad Ali <amjadali@uaeu.ac.ae>
Repository: CRAN
Date/Publication: 2025-11-10 08:20:32 UTC
Built: R 4.6.0; ; 2026-04-25 17:26:55 UTC; unix
