{ "_id": "6ad32df36814ce853b658450", "Package": "PDEnaiveBayes", "Type": "Package", "Title": "Plausible Naive Bayes Classifier Using PDE", "Version": "0.4.0", "Date": "2026-07-19", "Authors@R": "c(person(\"Michael\", \"Thrun\",role=c(\"aut\",\"cph\",\"cre\"),email= \"m.thrun@gmx.net\", comment = c(ORCID = \"0000-0001-9542-5543\")),person(\"Quirin\", \"Stier\", email= \"Quirin_Stier@gmx.de\",role=c(\"aut\",\"rev\"), comment = c(ORCID = \"0000-0002-7896-4737\")),person(\"Tim Robin\", \"Neldner\",role=c(\"ctr\",\"ctb\")))", "Maintainer": "Michael Thrun ", "Description": "Provides a nonparametric, multicore-capable plausible\nnaive Bayes classifier based on Pareto density estimation\n(PDE). It addresses low-evidence cases through a plausibility\ncorrection. To enhance the interpretability of the flexible\nnaive Bayes classifier by revealing its posterior structure and\nfeature-wise, class-specific evidence, posterior probabilities\ncan be visualized as class-wise line plots for one-dimensional\ndata or color-coded Voronoi diagrams for pairwise feature\nprojections, and class-conditional PDE likelihoods as overlaid,\nmirrored density profiles resembling violin plots.\nMethodological details are provided by Stier, Q., Hoffmann, J.\nand Thrun, M. C. (2026) \"Classifying with the Fine Structure of\nDistributions: Leveraging Distributional Information for Robust\nand Plausible Naive Bayes\" . For\nmulticore computations, the implementation applies the general\nmemory-sharing approach described by Thrun, M. C. and Märte, J.\n(2026) \"memshare: Memory Sharing for Multicore Computation in R\nwith an Application to Feature Selection by Mutual Information\nusing PDE\" .", "LazyLoad": "yes", "LazyData": "TRUE", "NeedsCompilation": "yes", "VignetteBuilder": "knitr", "License": "GPL-3", "Encoding": "UTF-8", "BugReports": "https://github.com/Mthrun/PDEbayes/issues", "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libssl-dev", "Repository": "https://mthrun.r-universe.dev", "Date/Publication": "2026-07-19 12:50:50 UTC", "RemoteUrl": "https://github.com/mthrun/pdebayes", "RemoteRef": "HEAD", "RemoteSha": "f991bc3244f0ca200394a3713b0cddd250bd8efc", "Packaged": { "Date": "2026-10-17 08:02:34 UTC", "User": "root" }, "Author": "Michael Thrun [aut, cph, cre] (ORCID:\n),\nQuirin Stier [aut, rev] (ORCID:\n),\nTim Robin Neldner [ctr, ctb]", "_user": "mthrun", "_type": "src", "_file": "PDEnaiveBayes_0.4.0.tar.gz", "_fileid": "https://r2.ropensci.org/44cb38da04f2ee20a80cd11a5afd99b3de2b4a2022a05ebad95bce3e15b75566", "_filesize": 1771894, "_sha256": "44cb38da04f2ee20a80cd11a5afd99b3de2b4a2022a05ebad95bce3e15b75566", "_expires": "2027-01-25T08:12:33.000Z", "_created": "2026-10-17T08:02:34.000Z", "_published": "2026-10-17T08:12:35.201Z", "_buildurl": "https://github.com/r-universe/mthrun/actions/runs/39015646863", "_status": "success", "_host": "GitHub-Actions", "_jobs": [ { "job": 117347849654, "time": 138, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "12095285541" }, { "job": 117347849780, "time": 142, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "12094568497" }, { "job": 117347849773, "time": 128, "config": "linux-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "12094113950" }, { "job": 117347849684, "time": 162, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "12095156093" }, { "job": 117347849685, "time": 91, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "12095041189" }, { "job": 117347849646, "time": 548, "config": "macos-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "12094762918" }, { "job": 117347849666, "time": 160, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "12095056394" }, { "job": 117347849661, "time": 317, "config": "macos-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "12094767446" }, { "job": 117347157789, "time": 220, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "12095195708" }, { "job": 117347849681, "time": 114, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "12093889516" }, { "job": 117347849711, "time": 232, "config": "windows-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "12094408371" }, { "job": 117347849753, "time": 179, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "12094573574" }, { "job": 117347849707, "time": 112, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "12095215799" }, { "job": 117347849700, "time": 284, "config": "windows-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "12094543779" }, { "job": 117347849710, "time": 143, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "12094233696" } ], "_upstream": "https://github.com/mthrun/pdebayes", "_commit": { "id": "f991bc3244f0ca200394a3713b0cddd250bd8efc", "author": "Mthrun ", "committer": "Mthrun ", "message": ".\n", "time": 1784465450 }, "_maintainer": { "name": "Michael Thrun", "email": "m.thrun@gmx.net", "login": "mthrun", "description": "Dr. habil. Michael C. Thrun, promovierte 2017 an der Philipps-Universität Marburg unter Prof. Dr. habil. Alfred Ultsch und habiltierte 2022 im Fach Informatik.", "uuid": 15046412, "orcid": "0000-0001-9542-5543" }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 2.10", "role": "Depends" }, { "package": "Rcpp", "role": "LinkingTo" }, { "package": "RcppParallel", "role": "LinkingTo" }, { "package": "Rcpp", "version": ">= 1.0.8", "role": "Imports" }, { "package": "RcppParallel", "version": ">= 5.1.4", "role": "Imports" }, { "package": "pracma", "role": "Imports" }, { "package": "plotly", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "grDevices", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "graphics", "role": "Imports" }, { "package": "methods", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "DatabionicSwarm", "role": "Imports" }, { "package": "memshare", "role": "Imports" }, { "package": "FCPS", "version": ">= 1.3.5", "role": "Suggests" }, { "package": "ABCanalysis", "role": "Suggests" }, { "package": "modeest", "role": "Suggests" }, { "package": "deldir", "role": "Suggests" }, { "package": "ScatterDensity", "version": ">= 0.1.1", "role": "Suggests" }, { "package": "gridExtra", "role": "Suggests" }, { "package": "parallelDist", "role": "Suggests" }, { "package": "parallel", "role": "Suggests" }, { "package": "DataVisualizations", "version": ">= 1.1.5", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" } ], "_owner": "mthrun", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2026-02", "n": 2 }, { "week": "2026-25", "n": 5 }, { "week": "2026-29", "n": 4 } ], "_tags": [], "_stars": 0, "_contributors": [ { "user": "mthrun", "count": 18, "uuid": 15046412 } ], "_userbio": { "uuid": 15046412, "type": "user", "name": "Mthrun", "followers": 26, "description": "Dr. habil. Michael C. Thrun, promovierte 2017 an der Philipps-Universität Marburg unter Prof. Dr. habil. Alfred Ultsch und habiltierte 2022 im Fach Informatik." }, "_downloads": { "count": 287, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/PDEnaiveBayes" }, "_devurl": "https://github.com/mthrun/pdebayes", "_searchresults": 1, "_topics": [ "cpp" ], "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/manual.pdf", "extra/PDEnaiveBayes.html", "extra/readme.html", "extra/readme.md" ], "_homeurl": "https://github.com/mthrun/pdebayes", "_realowner": "mthrun", "_cranurl": true, "_releases": [ { "version": "0.2.8", "date": "2025-11-17" }, { "version": "0.2.9", "date": "2026-01-10" }, { "version": "0.3.0", "date": "2026-06-21" }, { "version": "0.4.0", "date": "2026-07-19" } ], "_exports": [ "ApplyBayesTheorem4Likelihoods", "getPriors", "PlotBayesianDecision2D", "PlotLikelihoodFuns", "PlotLikelihoods", "PlotNaiveBayes", "PlotPosteriors", "Predict_naiveBayes", "predict.PDEbayes", "Train_naiveBayes", "Train_naiveBayes_multicore" ], "_datasets": [ { "name": "Hepta", "title": "Hepta introduced in [Ultsch, 2003]", "object": "Hepta", "class": [ "list" ], "fields": [], "table": false, "tojson": true } ], "_help": [ { "page": "PDEnaiveBayes-package", "title": "Plausible Naive Bayes Classifier Using PDE", "concept": [ "Pareto Density Estimation", "Pareto Law", "Kernel Density Estimation", "Bayesian Classifier" ], "topics": [ "PDEnaiveBayes-package" ] }, { "page": "ApplyBayesTheorem4Likelihoods", "title": "ApplyBayesTheorem4Likelihoods", "concept": [ "Pareto Density Estimation", "Pareto Law", "Kernel Density Estimation", "Bayesian Classifier" ], "topics": [ "ApplyBayesTheorem4Likelihoods" ] }, { "page": "defineOrEstimateDistribution", "title": "defineOrEstimateDistribution", "concept": [ "Pareto Density Estimation", "Pareto Law", "Kernel Density Estimation", "Bayesian Classifier" ], "topics": [ "defineOrEstimateDistribution" ] }, { "page": "fitParameters", "title": "fitParameters", "concept": [ "Pareto Density Estimation", "Pareto Law", "Kernel Density Estimation", "Bayesian Classifier" ], "topics": [ "fitParameters" ] }, { "page": "GetLikelihoods", "title": "GetLikelihoods", "concept": [ "Pareto Density Estimation", "Pareto Law", "Kernel Density Estimation", "Bayesian Classifier" ], "topics": [ "GetLikelihoods" ] }, { "page": "getPriors", "title": "getPriors", "concept": [ "Pareto Density Estimation", "Pareto Law", "Kernel Density Estimation", "Bayesian Classifier" ], "topics": [ "getPriors" ] }, { "page": "Hepta", "title": "Hepta introduced in [Ultsch, 2003]", "topics": [ "Hepta" ] }, { "page": "PlotBayesianDecision2D", "title": "PlotBayesianDecision2D", "concept": [ "Pareto Density Estimation", "Pareto Law", "Kernel Density Estimation", "Bayesian Classifier" ], "topics": [ "PlotBayesianDecision2D" ] }, { "page": "PlotLikelihoodFuns", "title": "PlotLikelihoodFuns", "concept": [ "Pareto Density Estimation", "Pareto Law", "Kernel Density Estimation", "Bayesian Classifier" ], "topics": [ "PlotLikelihoodFuns" ] }, { "page": "PlotLikelihoods", "title": "PlotLikelihoods", "concept": [ "Pareto Density Estimation", "Pareto Law", "Kernel Density Estimation", "Bayesian Classifier" ], "topics": [ "PlotLikelihoods" ] }, { "page": "PlotNaiveBayes", "title": "PlotNaiveBayes", "concept": [ "Pareto Density Estimation", "Pareto Law", "Kernel Density Estimation", "Bayesian Classifier" ], "topics": [ "PlotNaiveBayes" ] }, { "page": "PlotPosteriors", "title": "PlotPosteriors", "concept": [ "Pareto Density Estimation", "Pareto Law", "Kernel Density Estimation", "Bayesian Classifier" ], "topics": [ "PlotPosteriors" ] }, { "page": "Predict_naiveBayes", "title": "Predict_naiveBayes", "concept": [ "Pareto Density Estimation", "Pareto Law", "Kernel Density Estimation", "Bayesian Classifier" ], "topics": [ "Predict_naiveBayes" ] }, { "page": "predict.PDEbayes", "title": "predict.PDEbayes", "concept": [ "Pareto Density Estimation", "Pareto Law", "Kernel Density Estimation", "Bayesian Classifier" ], "topics": [ "predict.PDEbayes" ] }, { "page": "Train_naiveBayes", "title": "Train_naiveBayes", "concept": [ "Pareto Density Estimation", "Pareto Law", "Kernel Density Estimation", "Bayesian Classifier" ], "topics": [ "Train_naiveBayes" ] }, { "page": "Train_naiveBayes_multicore", "title": "Train a Multicore Pareto Density Naive Bayes Classifier", "concept": [ "Pareto Density Estimation", "Pareto Law", "Kernel Density Estimation", "Bayesian Classifier", "Parallel Computing", "Shared Memory" ], "topics": [ "Train_naiveBayes_multicore" ] } ], "_readme": "https://github.com/mthrun/pdebayes/raw/HEAD/README.md", "_rundeps": [ "ABCanalysis", "askpass", "base64enc", "bslib", "cachem", "cli", "cpp11", "crosstalk", "curl", "data.table", "DatabionicSwarm", "deldir", "digest", "dplyr", "evaluate", "farver", "fastmap", "fontawesome", "fs", "GeneralizedUmatrix", "generics", "ggplot2", "glue", "gtable", "highr", "htmltools", "htmlwidgets", "httr", "isoband", "jquerylib", "jsonlite", "knitr", "labeling", "later", "lazyeval", "lifecycle", "magrittr", "memoise", "memshare", "mime", "openssl", "otel", "pillar", "pkgconfig", "plotly", "plotrix", "pracma", "promises", "purrr", "R6", "rappdirs", "RColorBrewer", "Rcpp", "RcppArmadillo", "RcppParallel", "rlang", "rmarkdown", "S7", "sass", "scales", "stringi", "stringr", "sys", "tibble", "tidyr", "tidyselect", "tinytex", "utf8", "vctrs", "viridisLite", "withr", "xfun", "yaml" ], "_sysdeps": [ { "shlib": "libstdc++", "package": "libstdc++6", "source": "gcc", "version": "16-20260322-1ubuntu1", "name": "c++", "homepage": "http://gcc.gnu.org/", "description": "GNU Standard C++ Library v3" } ], "_vignettes": [ { "source": "PDEnaiveBayes.Rmd", "filename": "PDEnaiveBayes.html", "title": "An Introduction to PDE naive Bayes (PDENB)", "author": "Michael C. Thrun", "engine": "knitr::rmarkdown", "headings": [ "PDE Naive Bayes (PDENB)", "Fitting a PDENB model", "Visualization and interpretation", "Plausible Bayes correction", "References" ], "created": "2026-01-09 07:43:07", "modified": "2026-01-09 07:43:07", "commits": 1 } ], "_score": 4.176091259055681, "_indexed": true, "_nocasepkg": "pdenaivebayes", "_universes": [ "mthrun" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.4.0", "date": "2026-10-17T08:04:41.000Z", "distro": "resolute", "arch": "aarch64", "commit": "f991bc3244f0ca200394a3713b0cddd250bd8efc", "fileid": "https://r2.ropensci.org/30f7a4631b26f117af06b15287d3088fff3cf93556cd194c2f97a32f01ec2fd4", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mthrun/actions/runs/39015646863" }, { "r": "4.7.0", "os": "linux", "version": "0.4.0", "date": "2026-10-17T08:04:48.000Z", "distro": "resolute", "arch": "x86_64", "commit": "f991bc3244f0ca200394a3713b0cddd250bd8efc", "fileid": "https://r2.ropensci.org/b38e9e278964115af563428f06d449c79d5ce7bef8987734b8804bf790a26a5c", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mthrun/actions/runs/39015646863" }, { "r": "4.6.1", "os": "linux", "version": "0.4.0", "date": "2026-10-17T08:04:40.000Z", "distro": "resolute", "arch": "aarch64", "commit": "f991bc3244f0ca200394a3713b0cddd250bd8efc", "fileid": "https://r2.ropensci.org/b9b2305c1ec7830e1910d24dc3d86defed6bedfbf66e2ad6244deaaab5eaca90", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mthrun/actions/runs/39015646863" }, { "r": "4.6.1", "os": "linux", "version": "0.4.0", "date": "2026-10-17T08:04:57.000Z", "distro": "resolute", "arch": "x86_64", "commit": "f991bc3244f0ca200394a3713b0cddd250bd8efc", "fileid": "https://r2.ropensci.org/5fdeb4d1d785c08675cb43db9b9c4340905d8f81d47a57f923997b0dad55c58f", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mthrun/actions/runs/39015646863" }, { "r": "4.5.3", "os": "mac", "version": "0.4.0", "date": "2026-10-17T08:04:08.000Z", "arch": "aarch64", "commit": "f991bc3244f0ca200394a3713b0cddd250bd8efc", "fileid": "https://r2.ropensci.org/2744e05a7ee4e194035832b8a29738e58ca0197e40b0e344f98af3550410991d", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mthrun/actions/runs/39015646863" }, { "r": "4.5.3", "os": "mac", "version": "0.4.0", "date": "2026-10-17T08:08:34.000Z", "arch": "x86_64", "commit": "f991bc3244f0ca200394a3713b0cddd250bd8efc", "fileid": "https://r2.ropensci.org/4f03bf1f1e0b47b7fe79d6977217a1478d1f15de3b0f431a3c184eee9c606dc3", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mthrun/actions/runs/39015646863" }, { "r": "4.6.1", "os": "mac", "version": "0.4.0", "date": "2026-10-17T08:04:54.000Z", "arch": "aarch64", "commit": "f991bc3244f0ca200394a3713b0cddd250bd8efc", "fileid": "https://r2.ropensci.org/b6866d2326fa1d76521d7f88e1a52e8479a18ec11e50323975b5bc0e8c031706", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mthrun/actions/runs/39015646863" }, { "r": "4.6.1", "os": "mac", "version": "0.4.0", "date": "2026-10-17T08:06:26.000Z", "arch": "x86_64", "commit": "f991bc3244f0ca200394a3713b0cddd250bd8efc", "fileid": "https://r2.ropensci.org/90d0bce6b9c547b97960e26171d8d40044dd29b838686bc16c59fafa08ca906a", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mthrun/actions/runs/39015646863" }, { "r": "4.6.0", "os": "wasm", "version": "0.4.0", "date": "2026-10-17T08:04:51.000Z", "arch": "emscripten", "commit": "f991bc3244f0ca200394a3713b0cddd250bd8efc", "fileid": "https://r2.ropensci.org/27a307adb3b9a335834dd4e713510ce102640f358b03065524c75a8d7da4e72a", "status": "success", "buildurl": "https://github.com/r-universe/mthrun/actions/runs/39015646863" }, { "r": "4.7.0", "os": "win", "version": "0.4.0", "date": "2026-10-17T08:05:56.000Z", "arch": "aarch64", "commit": "f991bc3244f0ca200394a3713b0cddd250bd8efc", "fileid": "https://r2.ropensci.org/515bda05e2ae08cbdb2fb222c248cfcdb0f01e09e4e0e03e15ab53b61266ad6e", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mthrun/actions/runs/39015646863" }, { "r": "4.7.0", "os": "win", "version": "0.4.0", "date": "2026-10-17T08:04:07.000Z", "arch": "x86_64", "commit": "f991bc3244f0ca200394a3713b0cddd250bd8efc", "fileid": "https://r2.ropensci.org/09163ffdc168f54724bfd321948131192f8997f1dede4786a758b8158e8dcf37", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mthrun/actions/runs/39015646863" }, { "r": "4.5.3", "os": "win", "version": "0.4.0", "date": "2026-10-17T08:04:04.000Z", "arch": "x86_64", "commit": "f991bc3244f0ca200394a3713b0cddd250bd8efc", "fileid": "https://r2.ropensci.org/2ec89bbb42b956a607a4e41031d97ed8921ac813e9c3c4c2ecfffab0e3ef7295", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mthrun/actions/runs/39015646863" }, { "r": "4.6.1", "os": "win", "version": "0.4.0", "date": "2026-10-17T08:06:50.000Z", "arch": "aarch64", "commit": "f991bc3244f0ca200394a3713b0cddd250bd8efc", "fileid": "https://r2.ropensci.org/6d9f283399bf06d89bb34639d9691060796c6f39b04a332c3c49a9a50c94613c", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mthrun/actions/runs/39015646863" }, { "r": "4.6.1", "os": "win", "version": "0.4.0", "date": "2026-10-17T08:04:11.000Z", "arch": "x86_64", "commit": "f991bc3244f0ca200394a3713b0cddd250bd8efc", "fileid": "https://r2.ropensci.org/e53ed97c8f1fe62569399063a439a55d7bb7d80fa5c57e99976e44a6ce7fcf84", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/mthrun/actions/runs/39015646863" } ] }