{
  "_id": "6a16ac17acfb0bcc41d84300",
  "Package": "fmri",
  "Version": "1.9.12.1",
  "Date": "2024-07-24",
  "Title": "Analysis of fMRI Experiments",
  "Authors@R": "c(person(\"Karsten\", \"Tabelow\", role = c(\"aut\", \"cre\"),\nemail = \"tabelow@wias-berlin.de\"),\nperson(\"Joerg\", \"Polzehl\", role = c(\"aut\"),\nemail = \"polzehl@wias-berlin.de\"),\nperson(\"Brandon\", \"Whitcher\", role = c(\"ctb\")),\nperson(\"Dames\", \"Sibylle\", role = c(\"ctb\")))",
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  "Description": "Contains R-functions to perform an fMRI analysis as\ndescribed in Polzehl and Tabelow (2019)\n<DOI:10.1007/978-3-030-29184-6>, Tabelow et al. (2006)\n<DOI:10.1016/j.neuroimage.2006.06.029>, Polzehl et al. (2010)\n<DOI:10.1016/j.neuroimage.2010.04.241>, Tabelow and Polzehl\n(2011) <DOI:10.18637/jss.v044.i11>.",
  "License": "GPL (>= 2)",
  "Copyright": "This package is Copyright (C) 2006-2020 Weierstrass\nInstitute for Applied Analysis and Stochastics.",
  "URL": "https://www.wias-berlin.de/software/imaging/",
  "Note": "This software comes with NO warranty! It is NOT intended to be\nused in clinical applications! For evaluation only!",
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  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-05-27 08:29:04 UTC",
    "User": "root"
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  "Author": "Karsten Tabelow [aut, cre], Joerg Polzehl [aut], Brandon\nWhitcher [ctb], Dames Sibylle [ctb]",
  "Maintainer": "Karsten Tabelow <tabelow@wias-berlin.de>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2024-07-25 02:45:53 UTC",
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    "condensefMRI",
    "cutroi",
    "expandfMRI",
    "extractData",
    "fmri.cluster",
    "fmri.design",
    "fmri.designG",
    "fmri.detrend",
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    "fmri.lmePar",
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    "fmri.sICA",
    "fmri.smooth",
    "fmri.stimulus",
    "fmri2oro",
    "gen_fmridata",
    "getSearchlightPattern",
    "ICAfingerprint",
    "niftiImage2fmri",
    "oro2fmri",
    "plot.fmridata",
    "plot.fmrigroupICA",
    "plot.fmriICA",
    "plot.fmripvalue",
    "plot.fmrisegment",
    "print.fmridata",
    "read.AFNI",
    "read.ANALYZE",
    "read.DICOM",
    "read.NIFTI",
    "setmask",
    "sincfilter",
    "slicetiming",
    "summary.fmridata",
    "write.AFNI",
    "write.ANALYZE",
    "write.NIFTI"
  ],
  "_datasets": [
    {
      "name": "hvred",
      "title": "Translation between smoothness and bandwidth for Gaussian kernel",
      "object": "hvred",
      "class": [
        "matrix",
        "array"
      ],
      "fields": {},
      "rows": 500,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "oro2fmri",
      "title": "Convert Between fmridata and oro.nifti Objects",
      "topics": [
        "fmri2oro",
        "oro2fmri"
      ]
    },
    {
      "page": "cutroi",
      "title": "I/O function",
      "topics": [
        "cutroi"
      ]
    },
    {
      "page": "extractData",
      "title": "Extract data or residuals from a fmridata object",
      "topics": [
        "condensefMRI",
        "expandfMRI",
        "extractData"
      ]
    },
    {
      "page": "fmri.cluster",
      "title": "Cluster thresholding.",
      "topics": [
        "fmri.cluster"
      ]
    },
    {
      "page": "fmri.design",
      "title": "Linear Model for FMRI Data",
      "topics": [
        "fmri.design"
      ]
    },
    {
      "page": "fmri.designG",
      "title": "Design matrix for fMRI group analysis",
      "topics": [
        "fmri.designG"
      ]
    },
    {
      "page": "fmri.detrend",
      "title": "Detrend fMRI time series",
      "topics": [
        "fmri.detrend"
      ]
    },
    {
      "page": "fmri.lm",
      "title": "Linear Model for fMRI data",
      "topics": [
        "fmri.lm"
      ]
    },
    {
      "page": "fmri.lmePar",
      "title": "Linear Mixed-effects Model for fMRI data",
      "topics": [
        "fmri.lmePar"
      ]
    },
    {
      "page": "fmri.metaPar",
      "title": "Linear Mixed-effects Meta-Analysis model for fMRI data",
      "topics": [
        "fmri.metaPar"
      ]
    },
    {
      "page": "fmri.pvalue",
      "title": "P-values",
      "topics": [
        "fmri.pvalue"
      ]
    },
    {
      "page": "fmri.searchlight",
      "title": "Searchlight signal detection",
      "topics": [
        "fmri.searchlight"
      ]
    },
    {
      "page": "fmri.sgroupICA",
      "title": "Spatial group ICA for fmri",
      "topics": [
        "fmri.sgroupICA"
      ]
    },
    {
      "page": "fmri.sICA",
      "title": "Spacial ICA for fmri data",
      "topics": [
        "fmri.sICA"
      ]
    },
    {
      "page": "fmri.smooth",
      "title": "Smoothing Statistical Parametric Maps",
      "topics": [
        "fmri.smooth"
      ]
    },
    {
      "page": "fmri.stimulus",
      "title": "Linear Model for FMRI Data",
      "topics": [
        "fmri.stimulus"
      ]
    },
    {
      "page": "gen_fmridata",
      "title": "Generate fmridata example",
      "topics": [
        "gen_fmridata"
      ]
    },
    {
      "page": "getSearchlightPattern",
      "title": "Extract searchlight pattern from a SPM",
      "topics": [
        "getSearchlightPattern"
      ]
    },
    {
      "page": "hvred",
      "title": "Translation between smoothness and bandwidth for Gaussian kernel",
      "topics": [
        "hvred"
      ]
    },
    {
      "page": "ICAfingerprint",
      "title": "IC fingerprinting",
      "topics": [
        "ICAfingerprint"
      ]
    },
    {
      "page": "niftiImage2fmri",
      "title": "Create fmridata object from niftiImage",
      "topics": [
        "niftiImage2fmri"
      ]
    },
    {
      "page": "plot.fmridata",
      "title": "I/O functions",
      "topics": [
        "plot.fmridata",
        "plot.fmrisegment"
      ]
    },
    {
      "page": "plot.fmriICA",
      "title": "Diagnostics plots for objects of class '''fmriICA'''",
      "topics": [
        "plot.fmrigroupICA",
        "plot.fmriICA"
      ]
    },
    {
      "page": "plot.fmripvalue",
      "title": "Visualize fMRI p-value maps",
      "topics": [
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      ]
    },
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      "title": "I/O functions",
      "topics": [
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