Visualization for Classification Decision Boundaries R package classbound version 1.0.0 Exploring, visualizing, and comparing classification decision boundaries. Provides a unified interface for fitting classifiers and rendering 2D decision boundary plots, with support for 2D slice visualization (fixing non-plotted dimensions at reference values) and projection-based visualization for high-dimensional data (including Principal Component Analysis (PCA) and tour projections from the 'tourr' package). Supports native 'R' classifiers, 'tidymodels' workflows, and custom user-supplied models via a flexible adapter system. Includes an interactive 'Shiny' application ('explorapp') for visual exploration, data simulation, drawing, model comparison, probability surfaces, and reproducible exports. Software Depends: R (>= 4.3.0) Imports: class, ggplot2, rlang, ggnewscale, shiny, DT, RColorBrewer Suggests: tidymodels, workflowsets, workflows, parsnip, tourr, rpart, roxygen2 (>= 7.3.0), PPtreeViz, PPtreeExt, ppforest2, randomForest, testthat (>= 3.0.0), knitr, rmarkdown, palmerpenguins, e1071, MixSim, MASS, jsonlite Vaibhav Manihar <vaibhav.manihar@gmail.com> Comprehensive R Archive Network (CRAN) Vaibhav Manihar [aut, cre], Natalia da Silva [aut] (ORCID: <https://orcid.org/0000-0002-6031-7451>), Ignacio Alvarez-Castro [aut] (ORCID: <https://orcid.org/0000-0003-1633-2432>) GPL (>= 2) 2026-09-30 application/tgz https://CRAN.R-project.org/package=classbound doi:10.32614/CRAN.package.classbound