Package: bsnsing
Type: Package
Title: Bsnsing: A Decision Tree Induction Method Based on Recursive
        Optimal Boolean Rule Composition
Version: 1.0.1
Author: Yanchao Liu
Maintainer: Yanchao Liu <yanchaoliu@wayne.edu>
Description: The bsnsing package provides functions for training a
        decision tree classifier, making predictions and generating
        latex code for plotting. It solves the two-class and
        multi-class classification problems under the supervised
        learning paradigm. While building a decision tree, bsnsing uses
        a Boolean rule involving multiple variables to split a node.
        Each split rule is identified by solving an optimization
        problem. Use the bsnsing function to build a tree, the predict
        function to make predictions and the show function to plot the
        tree. The paper is at <arXiv:2205.15263>. Source code and more
        data sets are at <https://github.com/profyliu/bsnsing>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: lpSolve, methods
Suggests: slam, cplexAPI, gurobi, C50, party, rpart, tree
Repository: https://profyliu.r-universe.dev
Date/Publication: 2022-07-02 19:50:10 UTC
RemoteUrl: https://github.com/profyliu/bsnsing
RemoteRef: HEAD
RemoteSha: c6abcc9f4e2f02a01192dddbaef5a5668a84326f
NeedsCompilation: no
Packaged: 2026-07-14 04:39:29 UTC; root