bsnsing
1.0.1Build Decision Trees with Optimal Multivariate Splits
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Overview
About
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/.
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Failing flavors
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Slowest check: 2.0 min · r-oldrel-windows-x86_64
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Tests · ratio 0.00
not tracked
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Documentation · exports
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Check history
- 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
Documentation
READMEYes · 478 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
- Examples that run
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- Documented parameters
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- Return-value docs
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- References docs
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Also on495 r2u30 autocran
Dependencies
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5 external dependencies (excludes base and recommended)
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none
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methodsRcpp
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Listed in earlier versions (1)
no longer listed · 1.0.1
Package Timeline
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
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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