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  "Package": "mritc",
  "Title": "MRI Tissue Classification",
  "Date": "2023-01-26",
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  "Authors@R": "c(person(\"Dai\", \"Feng\", role=\"aut\"),\nperson(\"Luke\", \"Tierney\", role=\"aut\"),\nperson(\"Jon\", \"Clayden\", role=c(\"cre\",\"aut\"),\nemail=\"code@clayden.org\", comment=c(ORCID=\"0000-0002-6608-0619\")))",
  "Description": "Implements various methods for tissue classification in\nmagnetic resonance (MR) images of the brain, including normal\nmixture models and hidden Markov normal mixture models, as\noutlined in Feng & Tierney (2011) <doi:10.18637/jss.v044.i07>.\nThese methods allow a structural MR image to be classified into\ngray matter, white matter and cerebrospinal fluid tissue types.",
  "License": "GPL",
  "URL": "https://github.com/jonclayden/mritc",
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    "Date": "2026-05-26 09:28:36 UTC",
    "User": "root"
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  "Author": "Dai Feng [aut], Luke Tierney [aut], Jon Clayden [cre, aut]\n(<https://orcid.org/0000-0002-6608-0619>)",
  "Maintainer": "Jon Clayden <code@clayden.org>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2023-01-27 13:10:04 UTC",
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    "readMRI",
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      "title": "MRI Tissue Classification Package",
      "topics": [
        "mritc-package"
      ]
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      "page": "emnormmix",
      "title": "Estimate the Parameters of a Normal Mixture Model Using the EM Algorithm",
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        "emnormmix"
      ]
    },
    {
      "page": "initNormMix",
      "title": "Get the Initial Estimate of the Parameters of a Normal Mixture Model",
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        "initOtsu",
        "initProp"
      ]
    },
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      "page": "makeMRIspatial",
      "title": "Obtain Spatial Features of a Mask of an MR Image",
      "topics": [
        "makeMRIspatial"
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    },
    {
      "page": "measureMRI",
      "title": "Compare the Predicted Classsification Results with the Truth",
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        "measureMRI"
      ]
    },
    {
      "page": "mritc",
      "title": "MRI Tissue Classification Using Various Methods",
      "topics": [
        "mritc",
        "mritc.bayes",
        "mritc.em",
        "mritc.hmrfem",
        "mritc.icm",
        "mritc.pvhmrfem"
      ]
    },
    {
      "page": "plot.mritc",
      "title": "Plot Method for Class \"mritc\"",
      "topics": [
        "plot.mritc"
      ]
    },
    {
      "page": "print.mritc",
      "title": "Print Method for Class \"mritc\"",
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      ]
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      "title": "Read an MR Image into an Array",
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    },
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      "title": "Generate Random Samples from a Normal Mixture Model",
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      "title": "Summary Method for Class \"mritc\"",
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