Package: SWORD
Type: Package
Title: Support Vector Machine Weighted Oblique Random Decision Forests
Version: 0.1.0
Authors@R: c(
    person("Andrea", "Carta", role = c("aut", "cre"), email = "andrea.carta88@unica.it",
           comment = c(ORCID = "0000-0003-4077-1822")),
    person("Luca", "Frigau", role = "aut"))
Description: Implements SWORD (Support vector machine Weighted Oblique
        Random Decision forests), a random forest method for regression
        based on TORS (Tree Oblique for Regression with weighted SVM)
        oblique regression trees. At each internal node a Weighted-SVM
        classifier with a linear kernel defines the oblique splitting
        hyperplane as a sparse linear combination of predictors. The
        C++ coordinate-descent solver provides fast training. Variable
        importance is computed via OIW-VI (Oblique Impurity-Weighted
        Variable Importance). Provides tree fitting (TORS), forest
        fitting (SWORD), prediction, and variable importance
        (VI_SWORD). Parallel tree fitting is supported via the
        'future'/'furrr' framework. The SWORD method is described in
        Carta and Frigau (accepted, in press) 'Oblique Random Forests
        for Regression via Weighted Support Vector Machine', Advances
        in Data Analysis and Classification. The TORS algorithm is
        described in Carta and Frigau (2025)
        <doi:10.1007/s00180-025-01647-w>. The weighted SVM is based on
        Yang, Song and Cao (2005) <doi:10.1109/IJCNN.2005.1555965> and
        the 'WeightSVM' package by Xu et al. (2024)
        <doi:10.32614/CRAN.package.WeightSVM>.
License: GPL-3
URL: https://github.com/acarta88/sword-package
BugReports: https://github.com/acarta88/sword-package/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: Rcpp (>= 1.0.0)
LinkingTo: Rcpp
Suggests: infotheo, furrr, progressr, future, visNetwork,
        microbenchmark, knitr, rmarkdown, ggplot2, MASS, testthat (>=
        3.0.0)
VignetteBuilder: knitr
Config/roxygen2/version: 8.0.0
NeedsCompilation: yes
Packaged: 2026-10-29 17:13:58 UTC; root
Author: Andrea Carta [aut, cre] (ORCID:
        <https://orcid.org/0000-0003-4077-1822>), Luca Frigau [aut]
Maintainer: Andrea Carta <andrea.carta88@unica.it>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-10-29 16:16:38 UTC
RemoteUrl: https://github.com/cran/SWORD
RemoteRef: HEAD
RemoteSha: 1c58e0d9780f866df7e10046f990001fae11a7ed