{
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  "Package": "trama.spatial",
  "Title": "Geostatistics Collection for trama",
  "Version": "0.1.1",
  "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 geostatistics in a trama graph: declaring a\nregionalised variable with coordinates, projection and\nboundary; exploratory spatial display; classical and robust\nempirical variograms, omnidirectional or directional, with\nlarge-scale trend removed; fitting spherical, exponential,\nGaussian and Matern models by ordinary and weighted least\nsquares, reporting nugget, partial sill, range and practical\nrange; and ordinary and simple kriging onto a boundary-clipped\ngrid, carrying the kriging variance so the prediction map\nalways has an uncertainty map beside it. The point object\ncarries its coordinates, projection and boundary, so no later\nnode asks for them again. Builds on trama.data for tables and\ntrama.view for plots.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "Config/testthat/edition": "3",
  "Config/trama/requires": "trama.data, trama.view",
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    "trama.data=github::uaipedro/trama/collections/trama.data",
    "trama.view=github::uaipedro/trama/collections/trama.view"
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  "Repository": "https://uaipedro.r-universe.dev",
  "Date/Publication": "2026-10-09 16:23:25 UTC",
  "RemoteUrl": "https://github.com/uaipedro/trama",
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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>)",
  "Maintainer": "Pedro Mambelli Fernandes <pedromambelli@gmail.com>",
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  "_created": "2026-10-10T22:53:05.000Z",
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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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