{ "_id": "6acac762fe5cc25786e8c22f", "Package": "trama.ml", "Title": "Interpretable and Classical Machine Learning for trama", "Version": "0.5.8", "Authors@R": "c(\nperson(\"Pedro\", \"Mambelli Fernandes\", , \"pedromambelli@gmail.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0009-0001-1695-279X\")),\nperson(\"João Paulo Assis\", \"Bonifácio\", , \"jpab.27@hotmail.com\",\nrole = \"aut\",\ncomment = c(ORCID = \"0009-0009-2335-8391\"))\n)", "Description": "Supervised learning nodes for trama workflows, from linear\nbaselines and interpretable CART and FIGS models to random\nforests, support vector machines and gradient boosted trees.\nProvides reproducible training and test splits, prediction,\nevaluation and model inspection. Learning engines are optional\nand loaded only for the selected model. Neural networks are\ndeliberately outside the scope of this collection.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "Config/testthat/edition": "3", "Config/trama/requires": "trama.data, trama.view, trama.models", "Remotes": [ "uaipedro/trama", "trama.data=github::uaipedro/trama/collections/trama.data", "trama.view=github::uaipedro/trama/collections/trama.view", "trama.models=github::uaipedro/trama/collections/trama.models" ], "Config/roxygen2/version": "8.0.0", "Config/pak/sysreqs": "cmake libfontconfig1-dev libfreetype6-dev\nlibfribidi-dev make libharfbuzz-dev libicu-dev libjpeg-dev\nlibpng-dev libtiff-dev libuv1-dev libwebp-dev libssl-dev\nlibx11-dev zlib1g-dev", "Repository": "https://uaipedro.r-universe.dev", "Date/Publication": "2026-10-09 16:23:25 UTC", "RemoteUrl": "https://github.com/uaipedro/trama", "RemoteRef": "HEAD", "RemoteSha": "1bdeb4f693df836f77e762f2642cc18a3956f8b1", "RemoteSubdir": "collections/trama.ml", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-10 23:13:42 UTC", "User": "root" }, "Author": "Pedro Mambelli Fernandes [aut, cre] (ORCID:\n),\nJoão Paulo Assis Bonifácio [aut] (ORCID:\n)", "Maintainer": "Pedro Mambelli Fernandes ", "_user": "uaipedro", "_type": "src", "_file": "trama.ml_0.5.8.tar.gz", "_fileid": "https://r2.ropensci.org/1914d4034aa6eea373344766e9e0e304551bd76f86bbd567bcf7d33af0aff10a", "_filesize": 219670, "_sha256": "1914d4034aa6eea373344766e9e0e304551bd76f86bbd567bcf7d33af0aff10a", "_expires": "2027-01-18T23:16:48.000Z", "_created": "2026-10-10T23:13:42.000Z", "_published": "2026-10-10T23:16:50.320Z", "_buildurl": "https://github.com/r-universe/uaipedro/actions/runs/38094025472", "_status": "success", "_host": "GitHub-Actions", "_jobs": [ { "job": 114336900091, "time": 147, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "WARNING", "artifact": "11684972586" }, { "job": 114336900003, "time": 139, "config": "linux-release-x86_64", "r": "4.6.1", "check": "WARNING", "artifact": "11685736081" }, { "job": 114336899975, "time": 115, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "WARNING", "artifact": "11684947714" }, { "job": 114336899985, "time": 117, "config": "macos-release-arm64", "r": "4.6.1", "check": "WARNING", "artifact": "11685920794" }, { "job": 114336144782, "time": 257, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11685177177" }, { "job": 114336899986, "time": 126, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "11685596347" }, { "job": 114336899967, "time": 106, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "WARNING", "artifact": "11685576253" }, { "job": 114336899981, "time": 110, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "WARNING", "artifact": "11685312014" }, { "job": 114336900032, "time": 144, "config": "windows-release-x86_64", "r": "4.6.1", "check": "WARNING", "artifact": "11684852979" } ], "_upstream": "https://github.com/uaipedro/trama", "_commit": { "id": "1bdeb4f693df836f77e762f2642cc18a3956f8b1", "author": "uaipedro ", "committer": "uaipedro ", "message": "feat(models): normalidade dos resíduos quantílicos do GLM com p mediano calibrado\n\nmodels/shapiro_residuals (versão 2) testa os resíduos quantílicos randomizados\nno GLM: p mediano do Shapiro-Wilk em 'sorteios' realizações como estatística,\np-valor por Monte Carlo com 'reamostras' respostas simuladas do ajuste. Tipo I\nmedido: 4,5 a 5,5% (o p mediano cru dava 0 a 2%). Resíduo quantílico finito na\ncauda de cima. trama.models 0.6.9.\n\nCo-Authored-By: Claude Opus 5.5 \n", "time": 1791563005 }, "_maintainer": { "name": "Pedro Mambelli Fernandes", "email": "pedromambelli@gmail.com", "login": "uaipedro", "description": "Estudante de Estatística (UFLA) com background em desenvolvimento e gestão.", "uuid": 44395968, "orcid": "0009-0001-1695-279X" }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1", "role": "Depends" }, { "package": "trama", "version": ">= 0.5.10", "role": "Imports" }, { "package": "trama.data", "version": ">= 0.4.0", "role": "Imports" }, { "package": "trama.view", "role": "Imports" }, { "package": "trama.models", "role": "Imports" }, { "package": "tibble", "role": "Imports" }, { "package": "rlang", "role": "Imports" }, { "package": "cli", "version": ">= 3.6.0", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": 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