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  "Title": "Multivariate Analysis Collection for trama",
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  "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": "Nodes for multivariate analysis in a trama graph:\nprincipal component analysis with scree, biplot and correlation\ncircle; factor analysis by maximum likelihood or principal\naxis, with orthogonal (varimax, quartimax, equamax) and oblique\n(promax, oblimin) rotations; linear and quadratic discriminant\nanalysis with exact leave-one-out predictions; logistic\nregression (binary and multinomial) as a classifier; jackknife\nbias, standard errors and pseudovalues for component, factor,\ndiscriminant and logistic statistics; and the diagnostics that\ncome first (KMO, Bartlett's sphericity, Horn's parallel\nanalysis, Box's M); distance matrices (Euclidean, Mahalanobis\nD2, Gower), hierarchical clustering with cophenetic\ncorrelation, k-means and Tocher's optimization method; and\none-way MANOVA with optional blocks. Ships example data with\nknown structure. Builds on trama.data for tables, trama.view\nfor plots and trama.models, whose model contract the\nclassifiers implement (prediction, confusion and ROC are its\nnodes).",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "Config/testthat/edition": "3",
  "Config/trama/requires": "trama.data, trama.view, trama.models",
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  "Repository": "https://uaipedro.r-universe.dev",
  "Date/Publication": "2026-10-09 16:23:25 UTC",
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  "NeedsCompilation": "no",
  "Packaged": {
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    "User": "root"
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  "Author": "Pedro Mambelli Fernandes [aut, cre] (ORCID:\n<https://orcid.org/0009-0001-1695-279X>),\nJoão Paulo Assis Bonifácio [aut] (ORCID:\n<https://orcid.org/0009-0009-2335-8391>)",
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    "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 <noreply@anthropic.com>\n",
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