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  "Title": "Adaptive Smoothing of FMRI Data",
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  "Date": "2022-09-24",
  "Authors@R": "c(person(given = \"Maximilian\",\nfamily = \"Hughes\",\nrole = c(\"aut\", \"cre\", \"ctb\"),\nemail = \"hughesgm@me.com\"))",
  "Description": "Adaptive smoothing functions for estimating the blood\noxygenation level dependent (BOLD) effect by using functional\nMagnetic Resonance Imaging (fMRI) data, based on adaptive Gauss\nMarkov random fields, for real as well as simulated data. The\nimplemented models make use of efficient Markov Chain Monte\nCarlo methods. Implemented methods are based on the research\ndeveloped by A. Brezger, L. Fahrmeir, A. Hennerfeind (2007)\n<https://www.jstor.org/stable/4626770>.",
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      "title": "Adaptive Smoothing of FMRI Data",
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        "adaptsmoFMRI"
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