Build Decision Trees with Optimal Multivariate Splits R package bsnsing version 1.0.1 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/>. Software Imports: methods, Rcpp (>= 1.0.3) LinkingTo: Rcpp Suggests: C50, party, rpart, tree Yanchao Liu <yanchaoliu@wayne.edu> Comprehensive R Archive Network (CRAN) Yanchao Liu GPL-3 2022-07-03 application/tgz https://CRAN.R-project.org/package=bsnsing doi:10.32614/CRAN.package.bsnsing