{ "_id": "6a1df4831d7bb097a0a59d98", "Package": "PEAXAI", "Title": "Probabilistic Efficiency Analysis Using Explainable Artificial\nIntelligence", "Version": "1.0.2", "Authors@R": "c(\nperson(given = \"Ricardo\",\nfamily = \"González Moyano\",\nrole = c(\"cre\", \"aut\"),\nemail = \"ricardo.gonzalezm@umh.es\",\ncomment = c(ORCID = \"0009-0002-8608-5545\")),\nperson(given = \"Juan\",\nfamily = \"Aparicio\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0002-0867-0004\")),\nperson(given = \"José Luis\",\nfamily = \"Zofío\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0003-1170-9501\")),\nperson(given = \"Víctor\",\nfamily = \"España\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0002-1807-6180\"))\n)", "Description": "Provides a probabilistic framework that integrates Data\nEnvelopment Analysis (DEA) (Banker et al., 1984)\n with machine learning classifiers\n(Kuhn, 2008) to estimate both the\n(in)efficiency status and the probability of efficiency for\ndecision-making units. The approach trains predictive models on\nDEA-derived efficiency labels (Charnes et al., 1985)\n, enabling explainable\nartificial intelligence (XAI) workflows with global and local\ninterpretability tools, including permutation importance\n(Molnar et al., 2018) , Shapley value\nexplanations (Strumbelj & Kononenko, 2014)\n, and sensitivity analysis\n(Cortez, 2011) . The\nframework also supports probability-threshold peer selection\nand counterfactual improvement recommendations for benchmarking\nand policy evaluation. The probabilistic efficiency framework\nis detailed in González-Moyano et al. (2025) \"Probability-based\nTechnical Efficiency Analysis through Machine Learning\", in\nreview for publication.", "License": "GPL-3", "URL": "https://github.com/rgonzalezmoyano/PEAXAI", "BugReports": "https://github.com/rgonzalezmoyano/PEAXAI/issues", "Encoding": "UTF-8", "Language": "en", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.2", "VignetteBuilder": "knitr", "LazyData": "false", "ByteCompile": "true", "Config/testthat/edition": "3", "Config/pak/sysreqs": "cmake libfreetype6-dev libglpk-dev libglu1-mesa-dev\nmake texlive libicu-dev libpng-dev libuv1-dev libxml2-dev\nlibgl1-mesa-dev libssl-dev zlib1g-dev", "Repository": "https://rgonzalezmoyano.r-universe.dev", "Date/Publication": "2026-06-01 17:09:54 UTC", "RemoteUrl": "https://github.com/rgonzalezmoyano/peaxai", "RemoteRef": "HEAD", "RemoteSha": "e53b7116fcd30b623447dd02f2ef1c074aed1a12", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-01 21:01:48 UTC", "User": "root" }, "Author": "Ricardo González Moyano [cre, aut] (ORCID:\n),\nJuan Aparicio [aut] (ORCID: ),\nJosé Luis Zofío [aut] (ORCID: ),\nVíctor España [aut] (ORCID: )", "Maintainer": "Ricardo González Moyano ", "MD5sum": "73105b395f000cf20461825c5bd8154c", "_user": "rgonzalezmoyano", "_type": "src", "_file": "PEAXAI_1.0.2.tar.gz", "_fileid": "d077550d5d4779d93d3ff4ff21bf6453f4289334aaaa24c6bc0ccc7b260f0d3c", "_filesize": 338558, "_sha256": "d077550d5d4779d93d3ff4ff21bf6453f4289334aaaa24c6bc0ccc7b260f0d3c", "_created": "2026-06-01T21:01:48.000Z", "_published": "2026-06-01T21:07:15.856Z", "_distro": "noble", "_jobs": [ { "job": 78947959124, "time": 276, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "WARNING", "artifact": "7342970554" }, { "job": 78947959118, "time": 259, "config": "linux-release-x86_64", "r": "4.6.0", "check": "WARNING", "artifact": "7342964584" }, { "job": 78947959110, "time": 194, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "WARNING", "artifact": "7342951751" }, { "job": 78947959182, "time": 131, "config": "macos-release-arm64", "r": "4.6.0", "check": "WARNING", "artifact": "7342969497" }, { "job": 78946782786, "time": 401, "config": "source", "r": "4.6.0", "check": "ERROR", "artifact": "7342870772" }, { "job": 78947959082, "time": 193, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7342940997" }, { "job": 78947959155, "time": 177, "config": "windows-devel", "r": "4.7.0", "check": "WARNING", "artifact": "7342935589" }, { "job": 78947959099, "time": 164, "config": "windows-oldrel", "r": "4.5.3", "check": "WARNING", "artifact": "7342931263" }, { "job": 78947959101, "time": 265, "config": "windows-release", "r": "4.6.0", "check": "WARNING", "artifact": "7342966938" } ], "_buildurl": "https://github.com/r-universe/rgonzalezmoyano/actions/runs/26781508090", "_status": "failure", "_host": "GitHub-Actions", "_upstream": "https://github.com/rgonzalezmoyano/peaxai", "_commit": { "id": "e53b7116fcd30b623447dd02f2ef1c074aed1a12", "author": "rgonzalezmoyano <125368117+rgonzalezmoyano@users.noreply.github.com>", "committer": "rgonzalezmoyano <125368117+rgonzalezmoyano@users.noreply.github.com>", "message": "PEAXAI 1.0.2\n", "time": 1780333794 }, "_maintainer": { "name": "Ricardo González Moyano", "email": "ricardo.gonzalezm@umh.es", "login": "rgonzalezmoyano", "description": "", "uuid": 125368117 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5", "role": "Depends" }, { "package": "Benchmarking", "role": "Imports" }, { "package": "caret", "role": "Imports" }, { "package": "deaR", "role": "Imports" }, { "package": "dplyr", "role": "Imports" }, { "package": "kernelshap", "role": "Imports" }, { "package": "iml", "role": "Imports" }, { "package": "isotone", "role": "Imports" }, { "package": "lime", "role": "Imports" }, { "package": "np", "role": "Imports" }, { "package": "PRROC", "role": "Imports" }, { "package": "pROC", "role": "Imports" }, { "package": "rminer", "role": "Imports" }, { "package": "rms", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "ggplot2", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" } ], "_owner": "rgonzalezmoyano", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2025-41", "n": 11 }, { "week": "2025-42", "n": 1 }, { "week": "2025-43", "n": 1 }, { "week": "2025-44", "n": 2 }, { "week": "2025-45", "n": 1 }, { "week": "2026-02", "n": 1 }, { "week": "2026-03", "n": 6 }, { "week": "2026-05", "n": 2 }, { "week": "2026-06", "n": 4 }, { "week": "2026-07", "n": 2 }, { "week": "2026-16", "n": 2 }, { "week": "2026-17", "n": 3 }, { "week": "2026-18", "n": 2 }, { "week": "2026-19", "n": 9 }, { "week": "2026-20", "n": 5 }, { "week": "2026-21", "n": 3 }, { "week": "2026-22", "n": 1 }, { "week": "2026-23", "n": 2 } ], "_tags": [], "_stars": 0, "_contributors": [ { "user": "rgonzalezmoyano", "count": 64, "uuid": 125368117 } ], "_userbio": { "uuid": 125368117, "type": "user", "name": "Ricardo González-Moyano" }, "_downloads": { "count": 482, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/PEAXAI" }, "_devurl": "https://github.com/rgonzalezmoyano/peaxai", "_searchresults": 0, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/PEAXAI.html", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/rgonzalezmoyano/peaxai", "_realowner": "rgonzalezmoyano", "_cranurl": true, "_releases": [ { "version": "0.1.0", "date": "2025-12-02" }, { "version": "1.0.0", "date": "2026-01-07" }, { "version": "1.0.1", "date": "2026-05-19" }, { "version": "1.0.2", "date": "2026-06-01" } ], "_exports": [ "find_beta_maxmin", "label_efficiency", "PEAXAI_counterfactuals", "PEAXAI_fitting", "PEAXAI_global_importance", "PEAXAI_local_importance", "PEAXAI_peer", "PEAXAI_predict", "PEAXAI_ranking", "SMOTE_data", "SMOTE_Z_data" ], "_datasets": [ { "name": "data", "title": "Simulated efficiency dataset (100 DMUs)", "object": "data", "file": "data.rda", "class": [ "data.frame" ], "fields": [ "x1", "y", "yD" ], "rows": 100, "table": true, "tojson": true }, { "name": "data_example", "title": "Simulated efficiency dataset (100 DMUs)", "object": "data_example", "file": "data_example.rda", "class": [ "data.frame" ], "fields": [ "x1", "y", "yD" ], "rows": 100, "table": true, "tojson": true }, { "name": "data_SABI", "title": "Spanish Food Industry Firms Dataset", "object": "data_SABI", "file": "data_SABI.rda", "class": [ "data.frame" ], "fields": [ "firm_id", "personnel_expenses", "fixed_assets", "operating_income" ], "rows": 1282, "table": true, "tojson": true }, { "name": "firms", "title": "Spanish Food Industry Firms Dataset", "object": "firms", "file": "firms.rda", "class": [ "data.frame" ], "fields": [ "total_assets", "employees", "fixed_assets", "personnel_expenses", "operating_income", "autonomous_community" ], "rows": 917, "table": true, "tojson": true } ], "_help": [ { "page": "convex_facets", "title": "Identify Maximal Facets of the Convex Frontier", "topics": [ "convex_facets" ] }, { "page": "data", "title": "Simulated efficiency dataset (100 DMUs)", "topics": [ "data" ] }, { "page": "data_example", "title": "Simulated efficiency dataset (100 DMUs)", "topics": [ "data_example" ] }, { "page": "data_SABI", "title": "Spanish Food Industry Firms Dataset", "topics": [ "data_SABI" ] }, { "page": "find_beta_maxmin", "title": "Search Range for Directional Efficiency Parameter (beta)", "topics": [ "find_beta_maxmin" ] }, { "page": "firms", "title": "Spanish Food Industry Firms Dataset", "topics": [ "firms" ] }, { "page": "get_SMOTE_DMUs", "title": "Create New SMOTE Units to Balance Data combinations of m + s", "topics": [ "get_SMOTE_DMUs" ] }, { "page": "label_efficiency", "title": "Data preprocessing and efficiency labeling with Additive DEA", "topics": [ "label_efficiency" ] }, { "page": "PEAXAI_counterfactuals", "title": "Projection-Based Efficiency counterfactuals", "topics": [ "PEAXAI_counterfactuals" ] }, { "page": "PEAXAI_fitting", "title": "Training Classification Models to Estimate Efficiency", "topics": [ "PEAXAI_fitting" ] }, { "page": "PEAXAI_global_importance", "title": "Global feature importance for efficiency classifiers", "topics": [ "PEAXAI_global_importance" ] }, { "page": "PEAXAI_local_importance", "title": "Local feature importance for efficiency classifiers", "topics": [ "PEAXAI_local_importance" ] }, { "page": "PEAXAI_peer", "title": "Identify Benchmark Peers Based on Estimated Efficiency Probabilities", "topics": [ "PEAXAI_peer" ] }, { "page": "PEAXAI_predict", "title": "Predict Probability of Efficiency Using a Fitted Model", "topics": [ "PEAXAI_predict" ] }, { "page": "PEAXAI_ranking", "title": "Generate Efficiency Rankings Based on Probabilistic Classification", "topics": [ "PEAXAI_ranking" ] }, { "page": "preprocessing", "title": "Prepare Data and Handle Errors", "topics": [ "preprocessing" ] }, { "page": "SMOTE_data", "title": "Create New SMOTE Units to Balance Data combinations of m + s", "topics": [ "SMOTE_data" ] }, { "page": "SMOTE_Z_data", "title": "Create New SMOTE Units to Balance Data combinations of m + s", "topics": [ "SMOTE_Z_data" ] }, { "page": "train_PEAXAI", "title": "Training a Classification Machine Learning Model", "topics": [ "train_PEAXAI" ] }, { "page": "xai_prepare_sets", "title": "Prepare Training and Target Datasets from a caret Model", "topics": [ "xai_prepare_sets" ] } ], "_readme": "https://github.com/rgonzalezmoyano/peaxai/raw/HEAD/README.md", "_rundeps": [ "adabag", "alabama", "askpass", "assertthat", "backports", "base64enc", "Benchmarking", "boot", "bslib", "cachem", "caret", "cccp", "checkmate", "class", "cli", "clock", "cluster", "codetools", "coin", "colorspace", "ConsRank", "cpp11", "crosstalk", "cubature", "Cubist", "curl", "data.table", "deaR", "diagram", "digest", "doFuture", "doParallel", "dplyr", "e1071", "evaluate", "farver", "fastmap", "fitdistrplus", "fontawesome", "foreach", "foreign", "Formula", "fs", "future", "future.apply", "generics", "ggplot2", "glmnet", "globals", "glue", "gower", "gridExtra", "gtable", "gtools", "hardhat", "highr", "Hmisc", "htmlTable", "htmltools", "htmlwidgets", "httr", "igraph", "iml", "ipred", "isoband", "isotone", "iterators", "jquerylib", "jsonlite", "kernelshap", "kernlab", "KernSmooth", "kknn", "knitr", "labeling", "later", "lattice", "lava", "lazyeval", "libcoin", "lifecycle", "lime", "listenv", "lpSolve", "lpSolveAPI", "lubridate", "magrittr", "MASS", "Matrix", "MatrixModels", "matrixStats", "mda", "memoise", "Metrics", "mime", "minpack.lm", "ModelMetrics", "modeltools", "multcomp", "mvtnorm", "nlme", "nloptr", "nnet", "nnls", "np", "numDeriv", "openssl", "optiSolve", "otel", "parallelly", "party", "pillar", "pkgconfig", "plotly", "plotrix", "pls", "plyr", "polspline", "pROC", "prodlim", "progressr", "promises", "proxy", "PRROC", "purrr", "quadprog", "quantreg", "R6", "randomForest", "rappdirs", "RColorBrewer", "Rcpp", "RcppArmadillo", "RcppEigen", "recipes", "reshape2", "rgl", "rlang", "rlist", "rmarkdown", "rminer", "rms", "rpart", "rstudioapi", "S7", "sandwich", "sass", "scales", "scatterplot3d", "shape", "shapes", "SparseM", "sparsevctrs", "SQUAREM", "stringi", "stringr", "strucchange", "survival", "sys", "TH.data", "tibble", "tidyr", "tidyselect", "timechange", "timeDate", "tinytex", "tzdb", "ucminf", "utf8", "vctrs", "viridisLite", "withr", "writexl", "xfun", "xgboost", "XML", "yaml", "zoo" ], "_score": 3.9542425094393248, "_indexed": true, "_nocasepkg": "peaxai", "_universes": [ "rgonzalezmoyano" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.0.2", "date": "2026-06-01T21:05:25.000Z", "distro": "noble", "commit": "e53b7116fcd30b623447dd02f2ef1c074aed1a12", "fileid": "1cf7b84059f98c319e77cc7bb7c6008a794d57439e31f7cbfa9eb0cafde43a8d", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/rgonzalezmoyano/actions/runs/26781508090" }, { "r": "4.6.0", "os": "linux", "version": "1.0.2", "date": "2026-06-01T21:05:18.000Z", "distro": "noble", "commit": "e53b7116fcd30b623447dd02f2ef1c074aed1a12", "fileid": "8a578922620021d941682b53a8cc5e844d4b5d6988e1fa4e04ba2bd65b1c7df0", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/rgonzalezmoyano/actions/runs/26781508090" }, { "r": "4.5.3", "os": "mac", "version": "1.0.2", "date": "2026-06-01T21:04:42.000Z", "commit": "e53b7116fcd30b623447dd02f2ef1c074aed1a12", "fileid": "aa9c7daacd4369e40572b045de575d3c7ce2dfde4df2206b8ea22b4598449380", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/rgonzalezmoyano/actions/runs/26781508090" }, { "r": "4.6.0", "os": "mac", "version": "1.0.2", "date": "2026-06-01T21:05:57.000Z", "commit": "e53b7116fcd30b623447dd02f2ef1c074aed1a12", "fileid": "f035e71a4dcb58b939c2cff888aba94261f3ef98124db821eead7f7b6842a99e", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/rgonzalezmoyano/actions/runs/26781508090" }, { "r": "4.6.0", "os": "wasm", "version": "1.0.2", "date": "2026-06-01T21:05:32.000Z", "commit": "e53b7116fcd30b623447dd02f2ef1c074aed1a12", "fileid": "e49d411e3f5d4a6403344f08a7b66a411df57098e7089d08944ed2d82be01dca", "status": "success", "buildurl": "https://github.com/r-universe/rgonzalezmoyano/actions/runs/26781508090" }, { "r": "4.7.0", "os": "win", "version": "1.0.2", "date": "2026-06-01T21:03:30.000Z", "commit": "e53b7116fcd30b623447dd02f2ef1c074aed1a12", "fileid": "30207f702bc65feaa183e6d68aca398d08fb805bf6338bf92d73173659bf7abd", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/rgonzalezmoyano/actions/runs/26781508090" }, { "r": "4.5.3", "os": "win", "version": "1.0.2", "date": "2026-06-01T21:03:23.000Z", "commit": "e53b7116fcd30b623447dd02f2ef1c074aed1a12", "fileid": "161d1471b6ab3e4a8cc6cc8eed51e9fd0fe01e45deadbc80b9efb071071763fc", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/rgonzalezmoyano/actions/runs/26781508090" }, { "r": "4.6.0", "os": "win", "version": "1.0.2", "date": "2026-06-01T21:05:00.000Z", "commit": "e53b7116fcd30b623447dd02f2ef1c074aed1a12", "fileid": "8f66b7159f51f7add51ceb512210ea69ab7db784a95b640f74618e9035b2fe1a", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/rgonzalezmoyano/actions/runs/26781508090" } ] }