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  "Package": "neuroSCC",
  "Title": "Bridging Simultaneous Confidence Corridors and PET Neuroimaging",
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  "Authors@R": "c(\nperson(\"Juan A.\", \"Arias Lopez\", , \"iguanamarina@protonmail.com\", role = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0000-0002-3355-6393\")),\nperson(\"Virgilio\", \"Gomez Rubio\", , \"Virgilio.Gomez@uclm.es\", role = \"rev\",\ncomment = c(ORCID = \"0000-0002-4791-3072\")),\nperson(\"Pablo\", \"Aguiar Fernandez\", , \"pablo.aguiar@usc.es\", role = \"ths\",\ncomment = c(ORCID = \"0000-0002-7322-2195\")),\nperson(\"Andrew\", \"Haddon Kemp\", , \"A.H.Kemp@swansea.ac.uk\", role = \"ths\",\ncomment = c(ORCID = \"0000-0003-1146-3791\"))\n)",
  "Maintainer": "Juan A. Arias Lopez <iguanamarina@protonmail.com>",
  "Description": "Tools for the structured processing of PET neuroimaging\ndata in preparation for the estimation of Simultaneous\nConfidence Corridors (SCCs) for one-group, two-group, or\nsingle-patient vs group comparisons. The package facilitates\nPET image loading, data restructuring, integration into a\nFunctional Data Analysis framework, contour extraction,\nidentification of significant results, and performance\nevaluation. It bridges established packages (e.g., 'oro.nifti')\nwith novel statistical methodologies (e.g., 'ImageSCC') and\nenables reproducible analysis pipelines, including comparison\nwith Statistical Parametric Mapping ('SPM').",
  "License": "MIT + file LICENSE",
  "URL": "https://iguanamarina.github.io/neuroSCC/,\nhttps://github.com/iguanamarina/PhD-2023-SCC-vs-SPM-Group-vs-Group,\nhttps://github.com/iguanamarina/PhD-2024-SCC-vs-SPM-SinglePatient-vs-Group",
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  "Date/Publication": "2026-04-23 09:50:57 UTC",
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      "table": false,
      "tojson": false
    },
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      ],
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      "table": false,
      "tojson": false
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      "page": "neuroSCC-package",
      "title": "Wrappers for Neuroimaging Functional Data Preparation and SCC Analysis",
      "topics": [
        "neuroSCC-package",
        "neuroSCC"
      ]
    },
    {
      "page": "calculateMetrics",
      "title": "Evaluate SCC or SPM Detection Performance",
      "topics": [
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      ]
    },
    {
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      "title": "Precomputed Inputs for SCC vs. SPM Performance Evaluation",
      "topics": [
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    },
    {
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    },
    {
      "page": "generatePoissonClones",
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    },
    {
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      "title": "Example Input for Poisson Clone Generation",
      "topics": [
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      "title": "Get Dimensions from a Neuroimaging File",
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    },
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      "title": "Extract Significant SCC Points from an SCC Comparison Object",
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    },
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      "title": "Extract SPM-Detected Significant Points from a Binary NIfTI File",
      "topics": [
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    },
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      "topics": [
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    },
    {
      "page": "meanNormalization",
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      "topics": [
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    {
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    },
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    },
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    },
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