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classbound  

Visualization for Classification Decision Boundaries
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("classbound", "1.0.0")



Attach the package and use:
library("classbound")
Maintained by
Vaibhav Manihar
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-30
Latest Update: 2026-09-30
Description:
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.
How to cite:
Vaibhav Manihar (2026). classbound: Visualization for Classification Decision Boundaries. R package version 1.0.0, https://cran.r-project.org/web/packages/classbound. Accessed 25 Oct. 2026.
Previous versions and publish date:
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Complete documentation for classbound
Functions, R codes and Examples using the classbound R package
Full classbound package functions and examples
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