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bsnsing  

Build Decision Trees with Optimal Multivariate Splits
View on CRAN: Click here


Download and install bsnsing package within the R console
Install from CRAN:
install.packages("bsnsing")

Install from Github:
library("remotes")
install_github("cran/bsnsing")

Install by package version:
library("remotes")
install_version("bsnsing", "1.0.1")



Attach the package and use:
library("bsnsing")
Maintained by
Yanchao Liu
[Scholar Profile | Author Map]
First Published: 2022-07-03
Latest Update: 2022-07-03
Description:
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) for technical details. Source code and more data sets are at .
How to cite:
Yanchao Liu (2022). bsnsing: Build Decision Trees with Optimal Multivariate Splits. R package version 1.0.1, https://cran.r-project.org/web/packages/bsnsing. Accessed 02 May. 2025.
Previous versions and publish date:
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