bsnsing
1.0.1Build Decision Trees with Optimal Multivariate Splits
Overview
Functions for training an optimal decision tree classifier, making predictions and generating latex code for plotting. Works for two-class and multi-class classification problems. The algorithm seeks the optimal Boolean rule consisting of multiple variables to split a node, resulting in shorter trees. Use bsnsing() to build a tree, predict() to make predictions and plot() to plot the tree into latex and PDF. See Yanchao Liu (2022) arXiv:2205.15263 for technical details. Source code and more data sets are at https://github.com/profyliu/bsnsing/.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE r-devel-linux-x86_64-fedora-clang
- NOTE r-devel-linux-x86_64-fedora-gcc
- NOTE r-devel-windows-x86_64
- NOTE r-oldrel-macos-arm64
- NOTE r-oldrel-macos-x86_64
- NOTE r-oldrel-windows-x86_64
- NOTE r-patched-linux-x86_64
- NOTE r-release-linux-x86_64
- NOTE r-release-macos-arm64
- NOTE r-release-macos-x86_64
- NOTE r-release-windows-x86_64
- NOTE2026-04-220 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-180 OK · 13 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-100 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
Author records are not tracked yet for this package.
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.0.1Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2022-07-03
- Total releases
- 1 / 4 yrs
- License
- GPL-3 OSI
- Bundled data
- 39 KB / 1 file
- Download size
- 80 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("bsnsing")Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.