Package: svmodt
Type: Package
Title: Linear SVM-Based Recursive Decision Trees
Version: 0.1.0
Authors@R: c(
    person(
      "Aneesh", "Agarwal",
      email = "aaga0022@student.monash.edu",
      role = c("aut", "cre", "cph")
    ),
    person(
      "Jack", "Jewson",
      email = "Jack.Jewson@monash.edu",
      role = c("aut", "ths")
    ),
    person(
      "Erik", "Sverdrup",
      email = "Erik.Sverdrup@monash.edu",
      role = c("aut", "ths")
    )
  )
Description: Implements Support Vector Machine Oblique Decision Trees
        (SVMODT). Recursively builds classification trees using linear
        Support Vector Machines (SVM) hyperplanes at each node instead
        of axis-parallel splits, creating oblique decision boundaries.
        Features include multiple feature selection methods, dynamic
        feature subset strategies, class weight support for imbalanced
        datasets, pruning and feature penalization.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Suggests: knitr, rmarkdown, bookdown, testthat (>= 3.0.0), rpart,
        rsample, gridExtra, tidyr, kableExtra, palmerpenguins, dplyr
VignetteBuilder: knitr
Depends: R (>= 3.5)
Imports: rlang, e1071, FSelectorRcpp, ggplot2
RoxygenNote: 7.3.3
Config/testthat/edition: 3
URL: https://github.com/AneeshAgarwala/svmodt
BugReports: https://github.com/AneeshAgarwala/svmodt/issues
Repository: https://aneeshagarwala.r-universe.dev
Date/Publication: 2026-06-24 09:09:16 UTC
RemoteUrl: https://github.com/aneeshagarwala/svmodt
RemoteRef: HEAD
RemoteSha: 1ec22a7fc9d15f9e24aca6126ff8fa7f4e6ea9b4
NeedsCompilation: no
Packaged: 2026-07-01 08:54:11 UTC; root
Author: Aneesh Agarwal [aut, cre, cph],
  Jack Jewson [aut, ths],
  Erik Sverdrup [aut, ths]
Maintainer: Aneesh Agarwal <aaga0022@student.monash.edu>