{ "_id": "6a1d31d21d7bb097a0a3b386", "Package": "SBOAtools", "Type": "Package", "Title": "Secretary Bird Optimization for Continuous Optimization and\nNeural Network Training", "Version": "0.1.1", "Authors@R": "c(\nperson(\"Burak\", \"Dilber\", email = \"burakdilber91@gmail.com\", role = c(\"aut\", \"cre\", \"cph\")),\nperson(\"A. Fırat\", \"Özdemir\", email = \"firat.ozdemir5761@gmail.com\", role = c(\"aut\", \"cph\"))\n)", "Description": "Provides an implementation of Secretary Bird Optimization\nfor general-purpose continuous optimization, benchmark\noptimization, and training single-hidden-layer feed-forward\nneural network models. The implemented optimizer is based on\nthe Secretary Bird Optimization Algorithm proposed by Fu et al.\n(2024) . The neural network\ntraining functionality is based on Dilber and Özdemir (2026)\n.", "License": "MIT + file LICENSE", "URL": "https://github.com/burakdilber/SBOAtools", "BugReports": "https://github.com/burakdilber/SBOAtools/issues", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "Repository": "https://burakdilber.r-universe.dev", "Date/Publication": "2026-05-02 15:10:12 UTC", "RemoteUrl": "https://github.com/burakdilber/sboatools", "RemoteRef": "HEAD", "RemoteSha": "9ce4adba096536f46a27972484e48bf0ca8e439c", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-01 07:03:36 UTC", "User": "root" }, "Author": "Burak Dilber [aut, cre, cph],\nA. Fırat Özdemir [aut, cph]", "Maintainer": "Burak Dilber ", "MD5sum": "fe4717a1845cc227cadf06887ca6721b", "_user": "burakdilber", "_type": "src", "_file": "SBOAtools_0.1.1.tar.gz", "_fileid": "3eeb6bc1d821bc641479031b0e39563f0c4a92ab59714dc337fce51ae09b6182", "_filesize": 123127, "_sha256": "3eeb6bc1d821bc641479031b0e39563f0c4a92ab59714dc337fce51ae09b6182", "_created": "2026-06-01T07:03:36.000Z", "_published": "2026-06-01T07:16:34.321Z", "_distro": "noble", "_jobs": [ { "job": 78802436286, "time": 111, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7325303809" }, { "job": 78802436307, "time": 93, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7325299217" }, { "job": 78802436351, "time": 185, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7325388980" }, { "job": 78802436330, "time": 154, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7325460084" }, { "job": 78802160992, "time": 127, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7325274137" }, { "job": 78802436348, "time": 83, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7325296323" }, { "job": 78802436325, "time": 69, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7325292906" }, { "job": 78802436304, "time": 62, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7325290856" }, { "job": 78802436333, "time": 58, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7325291075" } ], "_buildurl": "https://github.com/r-universe/burakdilber/actions/runs/26740188272", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/burakdilber/sboatools", "_commit": { "id": "9ce4adba096536f46a27972484e48bf0ca8e439c", "author": "Burak Dilber ", "committer": "Burak Dilber ", "message": "Prepare SBOAtools 0.1.1 release\n", "time": 1777734612 }, "_maintainer": { "name": "Burak Dilber", "email": "burakdilber91@gmail.com", "login": "burakdilber", "twitter": "@burakdilber", "description": "Data Science | Statistics | Machine Learning | Deep Learning | Business Analysis | useR!", "uuid": 66571118 }, "_registered": true, "_dependencies": [ { "package": "stats", "role": "Imports" }, { "package": "graphics", "role": "Imports" } ], "_owner": "burakdilber", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2026-14", "n": 7 }, { "week": "2026-18", "n": 1 } ], "_tags": [ { "name": "v0.1.1", "date": "2026-05-02" } ], "_topics": [ "machine-learning", "metaheuristic", "neural-network", "optimization", "secretary-bird-optimization" ], "_stars": 0, "_contributors": [ { "user": "burakdilber", "count": 8, "uuid": 66571118 } ], "_userbio": { "uuid": 66571118, "type": "user", "name": "Burak Dilber", "description": "Data Science | Statistics | Machine Learning | Deep Learning | Business Analysis | useR!" }, "_downloads": { "count": 455, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/SBOAtools" }, "_devurl": "https://github.com/burakdilber/sboatools", "_searchresults": 1, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "extra/SBOAtools.html", "manual.pdf" ], "_homeurl": "https://github.com/burakdilber/sboatools", "_realowner": "burakdilber", "_cranurl": true, "_releases": [ { "version": "0.1.0", "date": "2026-04-10" }, { "version": "0.1.1", "date": "2026-05-03" } ], "_exports": [ "get_benchmark", "list_benchmarks", "sboa", "sboa_mlp" ], "_help": [ { "page": "apply_minmax", "title": "Apply min-max normalization using existing bounds", "topics": [ "apply_minmax" ] }, { "page": "clip_bounds", "title": "Clip values to lower and upper bounds", "topics": [ "clip_bounds" ] }, { "page": "denormalize_minmax", "title": "Reverse min-max normalization", "topics": [ "denormalize_minmax" ] }, { "page": "forward_mlp", "title": "Forward pass for a single-hidden-layer MLP", "topics": [ "forward_mlp" ] }, { "page": "get_benchmark", "title": "Get a built-in benchmark definition", "topics": [ "get_benchmark" ] }, { "page": "levy_flight", "title": "Lévy flight step generator", "topics": [ "levy_flight" ] }, { "page": "list_benchmarks", "title": "List built-in benchmark functions", "topics": [ "list_benchmarks" ] }, { "page": "mae_vec", "title": "Mean absolute error", "topics": [ "mae_vec" ] }, { "page": "mape_vec", "title": "Mean absolute percentage error", "topics": [ "mape_vec" ] }, { "page": "mlp_mse_fitness", "title": "MSE fitness function for MLP training", "topics": [ "mlp_mse_fitness" ] }, { "page": "normalize_minmax", "title": "Min-max normalization", "topics": [ "normalize_minmax" ] }, { "page": "plot.sboa", "title": "Plot method for SBOA objects", "topics": [ "plot.sboa" ] }, { "page": "plot.sboa_mlp", "title": "Plot method for SBOA-MLP objects", "topics": [ "plot.sboa_mlp" ] }, { "page": "predict.sboa_mlp", "title": "Predict method for SBOA-MLP objects", "topics": [ "predict.sboa_mlp" ] }, { "page": "print.sboa", "title": "Print method for SBOA objects", "topics": [ "print.sboa" ] }, { "page": "print.sboa_mlp", "title": "Print method for SBOA-MLP objects", "topics": [ "print.sboa_mlp" ] }, { "page": "rmse_vec", "title": "Root mean squared error", "topics": [ "rmse_vec" ] }, { "page": "rsq_vec", "title": "R-squared", "topics": [ "rsq_vec" ] }, { "page": "sboa", "title": "Secretary Bird Optimization Algorithm", "topics": [ "sboa" ] }, { "page": "sboa_mlp", "title": "Train a single-hidden-layer MLP using SBOA", "topics": [ "sboa_mlp" ] }, { "page": "sigmoid", "title": "Sigmoid activation function", "topics": [ "sigmoid" ] }, { "page": "unpack_mlp_params", "title": "Unpack MLP parameter vector", "topics": [ "unpack_mlp_params" ] } ], "_readme": "https://github.com/burakdilber/sboatools/raw/HEAD/README.md", "_rundeps": [], "_score": 3, "_indexed": true, "_nocasepkg": "sboatools", "_universes": [ "burakdilber" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.1.1", "date": "2026-06-01T07:05:32.000Z", "distro": "noble", "commit": "9ce4adba096536f46a27972484e48bf0ca8e439c", "fileid": "5f5865f2fc813397d73f9bb35c5cb1da9e9e19442b862e32e916d928955d2a1c", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/burakdilber/actions/runs/26740188272" }, { "r": "4.6.0", "os": "linux", "version": "0.1.1", "date": "2026-06-01T07:05:17.000Z", "distro": "noble", "commit": "9ce4adba096536f46a27972484e48bf0ca8e439c", "fileid": "54f13f349cdf7042e83ab3d787295e86d6fc87dd07b3e86d26c7d077749e3308", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/burakdilber/actions/runs/26740188272" }, { "r": "4.5.3", "os": "mac", "version": "0.1.1", "date": "2026-06-01T07:10:57.000Z", "commit": "9ce4adba096536f46a27972484e48bf0ca8e439c", "fileid": "001697f2631ae14368dfae56f08484c119af1d6aed6ef108949a9a71032850c1", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/burakdilber/actions/runs/26740188272" }, { "r": "4.6.0", "os": "mac", "version": "0.1.1", "date": "2026-06-01T07:15:36.000Z", "commit": "9ce4adba096536f46a27972484e48bf0ca8e439c", "fileid": "b269a07152ec09dea124555f51c7c0eb5e6f90a7a879ffe925e434ae7ce0afa7", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/burakdilber/actions/runs/26740188272" }, { "r": "4.6.0", "os": "wasm", "version": "0.1.1", "date": "2026-06-01T07:05:14.000Z", "commit": "9ce4adba096536f46a27972484e48bf0ca8e439c", "fileid": "17ac26194d8613a0ca064c67a96002fb1a6622241489c78c74f03d72a8f170e6", "status": "success", "buildurl": "https://github.com/r-universe/burakdilber/actions/runs/26740188272" }, { "r": "4.7.0", "os": "win", "version": "0.1.1", "date": "2026-06-01T07:04:48.000Z", "commit": "9ce4adba096536f46a27972484e48bf0ca8e439c", "fileid": "dc7259ba7fcf557130a3e1e28f3fba1dddcf8dc6896d732dd1d414ef8c7687df", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/burakdilber/actions/runs/26740188272" }, { "r": "4.5.3", "os": "win", "version": "0.1.1", "date": "2026-06-01T07:04:37.000Z", "commit": "9ce4adba096536f46a27972484e48bf0ca8e439c", "fileid": "77f945e8798a2516916e23b5b40cc582fe78ea6efbe3e535adf0fe1aa8242f5f", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/burakdilber/actions/runs/26740188272" }, { "r": "4.6.0", "os": "win", "version": "0.1.1", "date": "2026-06-01T07:04:41.000Z", "commit": "9ce4adba096536f46a27972484e48bf0ca8e439c", "fileid": "ac0503eb8e3b3c7f503ecad5d499cccbed3e1be16b70fa29e8b11122ec786244", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/burakdilber/actions/runs/26740188272" } ] }