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  "Description": "Performs a spatial Bayesian general linear model (GLM) for\ntask functional magnetic resonance imaging (fMRI) data on the\ncortical surface. Additional models include group analysis and\ninference to detect thresholded areas of activation. Includes\ndirect support for the 'CIFTI' neuroimaging file format. For\nmore information see A. F. Mejia, Y. R. Yue, D. Bolin, F.\nLindgren, M. A. Lindquist (2020)\n<doi:10.1080/01621459.2019.1611582> and D. Spencer, Y. R. Yue,\nD. Bolin, S. Ryan, A. F. Mejia (2022)\n<doi:10.1016/j.neuroimage.2022.118908>.",
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        "BayesfMRI"
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    {
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      "topics": [
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        "id_activations"
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      "title": "Make Mesh",
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      "title": "max_threads",
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    },
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    },
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      "title": "scrub",
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      "title": "session_names",
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      "page": "summary.act_BGLM",
      "title": "Summarize a '\"act_BGLM\"' object",
      "topics": [
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        "print.summary.act_BGLM",
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    },
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      "page": "summary.act_fit_bglm",
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        "print.summary.act_fit_bglm",
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      "title": "Summarize a '\"BGLM\"' object",
      "topics": [
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        "print.summary.BGLM",
        "summary.BGLM"
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    },
    {
      "page": "summary.BGLM2",
      "title": "Summarize a '\"BGLM2\"' object",
      "topics": [
        "print.BGLM2",
        "print.summary.BGLM2",
        "summary.BGLM2"
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    {
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        "print.summary.fit_bglm",
        "summary.fit_bglm"
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      "page": "summary.fit_bglm2",
      "title": "Summarize a '\"fit_bglm2\"' object",
      "topics": [
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        "print.summary.fit_bglm2",
        "summary.fit_bglm2"
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      "page": "summary.prev_BGLM",
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        "print.summary.prev_BGLM",
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