{ "_id": "6abd18aa99f7aa8c6aa4f193", "Package": "classbound", "Title": "Visualization for Classification Decision Boundaries", "Version": "1.0.0", "Authors@R": "c(\nperson(given = \"Vaibhav\",\nfamily = \"Manihar\",\nrole = c(\"aut\", \"cre\"),\nemail = \"vaibhav.manihar@gmail.com\"),\nperson(given = \"Natalia\",\nfamily = \"da Silva\",\nrole = \"aut\",\nemail = \"natalia.dasilva@fcea.edu.uy\",\ncomment = c(ORCID = \"https://orcid.org/0000-0002-6031-7451\")),\nperson(given = \"Ignacio\",\nfamily = \"Alvarez-Castro\",\nrole = \"aut\",\nemail = \"ignacio.lavarez@fcea.edu.uy\",\ncomment = c(ORCID = \"https://orcid.org/0000-0003-1633-2432\"))\n)", "Description": "Exploring, visualizing, and comparing classification\ndecision boundaries. Provides a unified interface for fitting\nclassifiers and rendering 2D decision boundary plots, with\nsupport for 2D slice visualization (fixing non-plotted\ndimensions at reference values) and projection-based\nvisualization for high-dimensional data (including Principal\nComponent Analysis (PCA) and tour projections from the 'tourr'\npackage). Supports native 'R' classifiers, 'tidymodels'\nworkflows, and custom user-supplied models via a flexible\nadapter system. Includes an interactive 'Shiny' application\n('explorapp') for visual exploration, data simulation, drawing,\nmodel comparison, probability surfaces, and reproducible\nexports.", "License": "GPL (>= 2)", "URL": "https://github.com/natydasilva/classbound,\nhttps://natydasilva.github.io/classbound/", "LazyData": "yes", "Encoding": "UTF-8", "Config/testthat/edition": "3", "VignetteBuilder": "knitr", "Config/roxygen2/version": "8.1.0", "NeedsCompilation": "no", "Packaged": { "Date": "2026-09-30 14:07:51 UTC", "User": "root" }, "Author": "Vaibhav Manihar [aut, cre], Natalia da Silva [aut] (ORCID:\n), Ignacio\nAlvarez-Castro [aut] (ORCID:\n)", "Maintainer": "Vaibhav Manihar ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-09-30 13:55:15 UTC", "RemoteUrl": "https://github.com/cran/classbound", "RemoteRef": "HEAD", "RemoteSha": "88f02dfd947b2009850276f4b0199cc5deaa3b6c", "_user": "cran", "_type": "src", "_file": "classbound_1.0.0.tar.gz", "_fileid": "https://r2.ropensci.org/691de3d9818fe885cefd1f36f3de68d924c08db3d17c62e3233da2761477b5f7", "_filesize": 2547437, "_sha256": "691de3d9818fe885cefd1f36f3de68d924c08db3d17c62e3233da2761477b5f7", "_expires": "2027-01-08T14:11:52.000Z", "_created": "2026-09-30T14:07:51.000Z", "_published": "2026-09-30T14:11:54.592Z", "_jobs": [ { "job": 109923583694, "time": 289, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11103076527" } ], "_host": "GitHub-Actions", "_buildurl": "https://github.com/r-universe/cran/actions/runs/36726079777", "_status": "success", "_upstream": "https://github.com/cran/classbound", "_commit": { "id": "88f02dfd947b2009850276f4b0199cc5deaa3b6c", "author": "Vaibhav Manihar ", "committer": "cran-robot ", "message": "version 1.0.0\n", "time": 1790776515 }, "_maintainer": { "name": "Vaibhav Manihar", "email": "vaibhav.manihar@gmail.com", "login": "vai-man", "linkedin": "in/VaiMan", "twitter": "@OfcVaiMan", "description": "I make things work… eventually.", "uuid": 145927299 }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.3.0", "role": "Depends" }, { "package": "class", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "rlang", "role": "Imports" }, { "package": "ggnewscale", "role": "Imports" }, { "package": "shiny", "role": "Imports" }, { "package": "DT", "role": "Imports" }, { "package": "RColorBrewer", "role": "Imports" }, { "package": "tidymodels", "role": "Suggests" }, { "package": "workflowsets", "role": "Suggests" }, { "package": "workflows", "role": "Suggests" }, { "package": "parsnip", "role": "Suggests" }, { "package": "tourr", "role": "Suggests" }, { "package": "rpart", "role": "Suggests" }, { "package": "roxygen2", "version": ">= 7.3.0", "role": "Suggests" }, { "package": "PPtreeViz", "role": "Suggests" }, { "package": "PPtreeExt", "role": "Suggests" }, { "package": "ppforest2", "role": "Suggests" }, { "package": "randomForest", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "palmerpenguins", "role": "Suggests" }, { "package": "e1071", "role": "Suggests" }, { "package": "MixSim", "role": "Suggests" }, { "package": "MASS", "role": "Suggests" }, { "package": "jsonlite", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 0, "_updates": [ { "week": "2026-40", "n": 1 } ], "_tags": [ { "name": "1.0.0", "date": "2026-09-30" } ], "_stars": 0, "_contributors": [ { "user": "vai-man", "count": 1, "uuid": 145927299 } ], "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "followers": 630, "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 0, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/classbound" }, "_devurl": "https://github.com/natydasilva/classbound", "_pkgdown": "https://natydasilva.github.io/classbound/", "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/classbound.html", "extra/contents.json", "extra/manual.pdf", "extra/readme.html", "extra/readme.md" ], "_cranurl": false, "_exports": [ "as_classbound", "boundary_compute", "boundary_explore_nd", "boundary_workflow_set", "classbound", "classbound_palette", "explorapp", "export_data_csv", "export_metrics_csv", "export_models_rds", "export_plots_pdf", "export_plots_png", "fit_model", "plot_boundary", "predict_adapter", "predict_model", "preprocess_data", "simu_n", "simulate_mixsim" ], "_datasets": [ { "name": "data69_1", "title": "Waveform Dataset (UCI)", "object": "data69_1", "class": [ "spec_tbl_df", "tbl_df", "tbl", "data.frame" ], "fields": [ "Y", "V1", "V2", "V3", "V4", "V5", "V6", "V7", "V8", "V9", "V10", "V11", "V12", "V13", "V14", "V15", "V16", "V17", "V18", "V19", "V20", "V21" ], "rows": 5000, "table": true, "tojson": true } ], "_help": [ { "page": "as_classbound", "title": "Convert a fitted model into a classbound object", "topics": [ "as_classbound" ] }, { "page": "boundary_compute", "title": "Compute the classification decision boundary", "topics": [ "boundary_compute" ] }, { "page": "boundary_explore_nd", "title": "Explore high-dimensional classification boundaries", "topics": [ "boundary_explore_nd" ] }, { "page": "boundary_workflow_set", "title": "Compute classification boundaries for a workflow_set", "topics": [ "boundary_workflow_set" ] }, { "page": "classbound", "title": "Visualize a classification decision boundary", "topics": [ "classbound" ] }, { "page": "classbound_palette", "title": "Generate deterministic colors for classification classes", "topics": [ "classbound_palette" ] }, { "page": "data69_1", "title": "Waveform Dataset (UCI)", "topics": [ "data69_1" ] }, { "page": "explorapp", "title": "Shiny app to visually explore and compare classification boundaries for built-in, custom, and tidymodels algorithms in 2D", "topics": [ "explorapp" ] }, { "page": "export_data_csv", "title": "Export data to CSV", "topics": [ "export_data_csv" ] }, { "page": "export_metrics_csv", "title": "Export comparison metrics to CSV", "topics": [ "export_metrics_csv" ] }, { "page": "export_models_rds", "title": "Export fitted models to RDS", "topics": [ "export_models_rds" ] }, { "page": "export_plots_pdf", "title": "Export ggplot objects to a multi-page PDF", "topics": [ "export_plots_pdf" ] }, { "page": "export_plots_png", "title": "Export ggplot objects to individual PNG files in a directory", "topics": [ "export_plots_png" ] }, { "page": "fit_model", "title": "Fit a machine learning model", "topics": [ "fit_model", "fit_model.character", "fit_model.default", "fit_model.function" ] }, { "page": "plot_boundary", "title": "Visualize the classification decision boundary", "topics": [ "plot_boundary" ] }, { "page": "plot.classbound", "title": "Plot a classbound model boundary", "topics": [ "plot.classbound" ] }, { "page": "plot.classbound_boundary", "title": "Plot a computed boundary", "topics": [ "plot.classbound_boundary" ] }, { "page": "predict_model", "title": "Predict using a fitted classbound model", "topics": [ "predict_model" ] }, { "page": "predict.classbound", "title": "Predict using a classbound model", "topics": [ "predict.classbound", "predict.classbound_multi" ] }, { "page": "preprocess_data", "title": "Preprocess data before model fitting", "topics": [ "preprocess_data" ] }, { "page": "print.classbound", "title": "Print a classbound model", "topics": [ "print.classbound", "print.classbound_multi" ] }, { "page": "simu_n", "title": "Simulate multivariate normal data for multiple classes", "topics": [ "simu_n" ] }, { "page": "simulate_mixsim", "title": "Simulate data using Gaussian mixture models", "topics": [ "simulate_mixsim" ] }, { "page": "summary.classbound", "title": "Summarize a classbound model", "topics": [ "summary.classbound", "summary.classbound_multi" ] } ], "_readme": "https://github.com/cran/classbound/raw/HEAD/README.md", "_rundeps": [ "base64enc", "bslib", "cachem", "class", "cli", "commonmark", "cpp11", "crosstalk", "digest", "DT", "evaluate", "farver", "fastmap", "fontawesome", "fs", "ggnewscale", "ggplot2", "glue", "gtable", "highr", "htmltools", "htmlwidgets", "httpuv", "isoband", "jquerylib", "jsonlite", "knitr", "labeling", "later", "lazyeval", "lifecycle", "magrittr", "memoise", "mime", "otel", "promises", "R6", "rappdirs", "RColorBrewer", "Rcpp", "rlang", "rmarkdown", "S7", "sass", "scales", "shiny", "sourcetools", "tinytex", "vctrs", "viridisLite", "withr", "xfun", "xtable", "yaml" ], "_vignettes": [ { "source": "tidymodels-workflow.Rmd", "filename": "tidymodels-workflow.html", "title": "Comparing Classifiers with tidymodels", "engine": "knitr::rmarkdown", "headings": [ "Overview", "Required packages", "Step 1: Prepare data", "Step 2: Define model specifications", "Step 3: Create a workflow set", "Step 4: Compute boundaries for all models", "Step 5: Plot with facets", "Step 6: Disagreement map", "Using pre-trained workflows" ], "created": "2026-09-30 13:55:15", "modified": "2026-09-30 13:55:15", "commits": 1 }, { "source": "tourr-workflow.Rmd", "filename": "tourr-workflow.html", "title": "Comparing Models with tourr", "engine": "knitr::rmarkdown", "headings": [ "Overview", "Workflow overview", "Step 1: Prepare data", "Step 2: Fit models on the same data", "Step 3: Generate one shared projection sequence", "Step 4: Visualize at one tour frame", "Step 5: Compare models at the same frame", "Animating the tour (optional)", "Key points" ], "created": "2026-09-30 13:55:15", "modified": "2026-09-30 13:55:15", "commits": 1 }, { "source": "custom_adapters.Rmd", "filename": "custom_adapters.html", "title": "Custom Predictions and Adapters", "engine": "knitr::rmarkdown", "headings": [ "The prediction philosophy", "1. Standard classifiers (no extra work needed)", "2. Non-standard models (using predfun)", "3. Officially supported classifiers (built-in adapters)", "The adapter contract", "4. Writing a custom S3 adapter" ], "created": "2026-09-30 13:55:15", "modified": "2026-09-30 13:55:15", "commits": 1 }, { "source": "getting-started.Rmd", "filename": "getting-started.html", "title": "Getting Started with classbound", "engine": "knitr::rmarkdown", "headings": [ "What is classbound?", "Installation", "Quick start: one-step boundary plot", "The modular API", "Using different classifiers", "Probability surface", "Interactive exploration", "What's next?" ], "created": "2026-09-30 13:55:15", "modified": "2026-09-30 13:55:15", "commits": 1 }, { "source": "high-dimensional.Rmd", "filename": "high-dimensional.html", "title": "High-Dimensional Classification Boundaries", "engine": "knitr::rmarkdown", "headings": [ "The problem with more than two features", "Setup", "2D Slice", "Projection", "When to use each strategy", "High-dimensional data: data69_1" ], "created": "2026-09-30 13:55:15", "modified": "2026-09-30 13:55:15", "commits": 1 }, { "source": "explorapp-guide.Rmd", "filename": "explorapp-guide.html", "title": "Interactive Exploration with Explorapp", "engine": "knitr::rmarkdown", "headings": [ "Launching Explorapp", "Data modes", "Import Data", "Simulate Data", "Draw Data", "Model configuration", "Visualization modes", "Navigate", "2D Slice", "Projection", "Probability surface", "Outlier injection", "Performance metrics", "Export", "Import Workspace Models" ], "created": "2026-09-30 13:55:15", "modified": "2026-09-30 13:55:15", "commits": 1 } ], "_score": 3.4771212547196626, "_indexed": true, "_nocasepkg": "classbound", "_universes": [ "cran", "vai-man", "natydasilva" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.0.0", "date": "2026-09-30T14:10:52.000Z", "distro": "resolute", "commit": "88f02dfd947b2009850276f4b0199cc5deaa3b6c", "fileid": "https://r2.ropensci.org/bd5ac80283494f4c9aae142d4cfa987851d42c75124e29eaa7b176bab98917e8", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/36726079777" }, { "r": "4.6.1", "os": "linux", "version": "1.0.0", "date": "2026-09-30T14:10:28.000Z", "distro": "resolute", "commit": "88f02dfd947b2009850276f4b0199cc5deaa3b6c", "fileid": "https://r2.ropensci.org/ec1c3cf51ee605a55213961abeebed21333df91421fddbd0dae9b09162aff086", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/36726079777" }, { "r": "4.6.0", "os": "wasm", "version": "1.0.0", "date": "2026-09-30T14:11:05.000Z", "commit": "88f02dfd947b2009850276f4b0199cc5deaa3b6c", "fileid": "https://r2.ropensci.org/1f6b5b550d4f9b9e354e780c0bb700453b0d69630f3f8514da56dcee3609c4fb", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/36726079777" }, { "r": "4.7.0", "os": "win", "version": "1.0.0", "date": "2026-09-30T14:09:21.000Z", "commit": "88f02dfd947b2009850276f4b0199cc5deaa3b6c", "fileid": "https://r2.ropensci.org/ebbd989a7c3196a8284d3c2059681b85d5ba66e9ad53b24c875c287b1068db4d", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/36726079777" }, { "r": "4.6.1", "os": "win", "version": "1.0.0", "date": "2026-09-30T14:09:19.000Z", "commit": "88f02dfd947b2009850276f4b0199cc5deaa3b6c", "fileid": "https://r2.ropensci.org/142508f9184a66781793afc029a6a13134b5385df26180afa4a744fdb9015758", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/36726079777" } ] }