{
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  "Package": "ravecore",
  "Title": "Core File Structures and Workflows for 'RAVE'",
  "Version": "0.1.1.6",
  "Authors@R": "c(\nperson(\"Zhengjia\", \"Wang\", email = \"dipterix.wang@gmail.com\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0001-5629-1116\")),\nperson(\"Xiang\", \"Zhang\", email = \"xiang.zhang@pennmedicine.upenn.edu\", role = c(\"aut\")),\nperson(\"John\", \"Magnotti\", email = \"john.magnotti@pennmedicine.upenn.edu\", role = c(\"aut\")),\nperson(\"Michael\", \"Beauchamp\", email = \"michael.beauchamp@pennmedicine.upenn.edu\", role = c(\"aut\")),\nperson(\"Trustees of the University of Pennsylvania\", role = \"cph\",\ncomment = \"All files in this package unless explicitly stated in the file\")\n)",
  "Description": "Defines storage standard for Read, process, and analyze\nintracranial electroencephalography and deep-brain stimulation\nin 'RAVE', a reproducible framework for analysis and\nvisualization of iEEG by Magnotti, Wang, and Beauchamp, (2020,\n<doi:10.1016/j.neuroimage.2020.117341>). Supports brain imaging\ndata structure (BIDS) <https://bids.neuroimaging.io> and native\nfile structure to ingest signals from 'Matlab' data files,\nhierarchical data format 5 (HDF5), European data format (EDF),\nBrainVision core data format (BVCDF), or BlackRock Microsystem\n(NEV/NSx); process images in Neuroimaging informatics\ntechnology initiative (NIfTI) and 'FreeSurfer' formats,\nproviding brain imaging normalization to template brain,\nfacilitating 'threeBrain' package for comprehensive electrode\nlocalization via 'YAEL' (your advanced electrode localizer) by\nWang, Magnotti, Zhang, and Beauchamp (2023,\n<doi:10.1523/ENEURO.0328-23.2023>).",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "Language": "en-US",
  "URL": "https://rave.wiki, http://rave.wiki/ravecore/",
  "BugReports": "https://github.com/rave-ieeg/ravecore/issues",
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  "Repository": "https://rave-ieeg.r-universe.dev",
  "Date/Publication": "2026-06-06 19:16:14 UTC",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-08 00:23:15 UTC",
    "User": "root"
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  "Author": "Zhengjia Wang [aut, cre] (ORCID:\n<https://orcid.org/0000-0001-5629-1116>),\nXiang Zhang [aut],\nJohn Magnotti [aut],\nMichael Beauchamp [aut],\nTrustees of the University of Pennsylvania [cph] (All files in this\npackage unless explicitly stated in the file)",
  "Maintainer": "Zhengjia Wang <dipterix.wang@gmail.com>",
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    "description": "Reproducible Analysis & Visualization of iEEG"
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    "ants_coreg",
    "archive_subject",
    "as_rave_project",
    "as_rave_subject",
    "as_yael_process",
    "Auxiliary_electrode",
    "backup_file",
    "cache_root",
    "clear_cached_files",
    "cmd_afni_home",
    "cmd_dcm2niix",
    "cmd_dry_run",
    "cmd_execute",
    "cmd_freesurfer_home",
    "cmd_fsl_home",
    "cmd_homebrew",
    "cmd_run_3dAllineate",
    "cmd_run_ants_coreg",
    "cmd_run_dcm2niix",
    "cmd_run_freesurfer_recon_all",
    "cmd_run_freesurfer_recon_all_clinical",
    "cmd_run_fsl_flirt",
    "cmd_run_niftyreg_coreg",
    "cmd_run_nipy_coreg",
    "cmd_run_r",
    "cmd_run_yael_preprocess",
    "collapse_power",
    "collapse2",
    "compose_channel",
    "convert_electrode_table_to_bids",
    "export_table",
    "generate_atlases_from_template",
    "generate_reference",
    "get_available_morph_to_template",
    "get_projects",
    "glimpse_voltage_filearray",
    "glimpse_voltage_repository_with_blocks",
    "has_rave_subject",
    "IMPORT_FORMATS",
    "import_from_brainvis",
    "import_from_edf",
    "import_from_h5_mat_per_block",
    "import_from_h5_mat_per_channel",
    "import_from_nevnsx",
    "import_table",
    "install_openneuro",
    "install_subject",
    "LFP_electrode",
    "LFP_reference",
    "load_meta2",
    "LOCATION_TYPES",
    "MNI305_to_MNI152",
    "new_electrode",
    "new_rave_subject",
    "new_reference",
    "niftyreg_coreg",
    "normalize_commandline_path",
    "plot_volume_slices",
    "power_baseline",
    "prepare_subject_bare",
    "prepare_subject_bare0",
    "prepare_subject_phase_with_blocks",
    "prepare_subject_phase_with_epochs",
    "prepare_subject_power",
    "prepare_subject_power_with_blocks",
    "prepare_subject_power_with_epochs",
    "prepare_subject_raw_voltage_with_blocks",
    "prepare_subject_raw_voltage_with_epochs",
    "prepare_subject_time_frequency_coefficients_with_blocks",
    "prepare_subject_time_frequency_coefficients_with_epochs",
    "prepare_subject_voltage_with_blocks",
    "prepare_subject_voltage_with_epochs",
    "prepare_subject_with_blocks",
    "prepare_subject_with_epochs",
    "py_nipy_coreg",
    "rave_brain",
    "rave_legacy_subject_format_conversion",
    "rave_path",
    "RAVEAbstarctElectrode",
    "RAVEEpoch",
    "RAVEPreprocessSettings",
    "RAVEProject",
    "RAVESubject",
    "RAVESubjectBaseRepository",
    "RAVESubjectEpochPhaseRepository",
    "RAVESubjectEpochPowerRepository",
    "RAVESubjectEpochRawVoltageRepository",
    "RAVESubjectEpochRepository",
    "RAVESubjectEpochTimeFreqCoefRepository",
    "RAVESubjectEpochVoltageRepository",
    "RAVESubjectRecordingBlockPhaseRepository",
    "RAVESubjectRecordingBlockPowerRepository",
    "RAVESubjectRecordingBlockRawVoltageRepository",
    "RAVESubjectRecordingBlockTimeFreqCoefRepository",
    "RAVESubjectRecordingBlockVoltageRepository",
    "rscript_path",
    "run_wavelet",
    "save_meta2",
    "SIGNAL_TYPES",
    "snapshot_project",
    "snapshot_subject",
    "Spike_electrode",
    "transform_point_to_template",
    "transform_thinfilm_to_mni152",
    "validate_condition_groupings",
    "validate_subject",
    "validate_time_window",
    "YAEL_IMAGE_TYPES",
    "yael_macaque",
    "yael_preprocess",
    "YAELProcess"
  ],
  "_help": [
    {
      "page": "archive_subject",
      "title": "Archive and share a subject",
      "topics": [
        "archive_subject"
      ]
    },
    {
      "page": "as_rave_project",
      "title": "Convert character to 'RAVEProject' instance",
      "topics": [
        "as_rave_project",
        "as_rave_project.character"
      ]
    },
    {
      "page": "as_yael_process",
      "title": "Create a 'YAEL' imaging processing instance",
      "topics": [
        "as_yael_process"
      ]
    },
    {
      "page": "Auxiliary_electrode",
      "title": "Class definition for auxiliary channels",
      "topics": [
        "Auxiliary_electrode"
      ]
    },
    {
      "page": "backup_file",
      "title": "Back up and rename the file or directory",
      "topics": [
        "backup_file"
      ]
    },
    {
      "page": "cache_path",
      "title": "Manipulate cached data on the file systems",
      "topics": [
        "cache_path",
        "cache_root",
        "clear_cached_files"
      ]
    },
    {
      "page": "cmd_run_3dAllineate",
      "title": "Align images using 'AFNI'",
      "topics": [
        "cmd_run_3dAllineate"
      ]
    },
    {
      "page": "cmd_run_ants_coreg",
      "title": "Register a computerized tomography (CT) image to MRI via 'ANTs'",
      "topics": [
        "ants_coreg",
        "cmd_run_ants_coreg"
      ]
    },
    {
      "page": "cmd_run_dcm2niix",
      "title": "Convert DICOM to NIfTI via ''dcm2niix''",
      "topics": [
        "cmd_run_dcm2niix"
      ]
    },
    {
      "page": "cmd_run_freesurfer_recon_all",
      "title": "Workflow: 'FreeSurfer' surface reconstruction",
      "topics": [
        "cmd_run_freesurfer_recon_all",
        "cmd_run_freesurfer_recon_all_clinical"
      ]
    },
    {
      "page": "cmd_run_fsl_flirt",
      "title": "Run 'FSL' linear registration",
      "topics": [
        "cmd_run_fsl_flirt"
      ]
    },
    {
      "page": "cmd_run_yael_preprocess",
      "title": "Run a built-in 'YAEL' imaging processing workflow",
      "topics": [
        "cmd_run_yael_preprocess",
        "yael_preprocess"
      ]
    },
    {
      "page": "cmd-external",
      "title": "External shell commands for 'RAVE'",
      "topics": [
        "cmd-external",
        "cmd_execute",
        "cmd_run_r"
      ]
    },
    {
      "page": "collapse_power",
      "title": "Collapse power array with given analysis cubes",
      "topics": [
        "collapse_power",
        "collapse_power.array",
        "collapse_power.FileArray"
      ]
    },
    {
      "page": "collapse2",
      "title": "Collapse high-dimensional tensor array",
      "topics": [
        "collapse2",
        "collapse2.array",
        "collapse2.FileArray",
        "collapse2.RAVEFileArray",
        "collapse2.Tensor"
      ]
    },
    {
      "page": "compose_channel",
      "title": "Compose a phantom channel from existing electrodes",
      "topics": [
        "compose_channel"
      ]
    },
    {
      "page": "convert_electrode_table_to_bids",
      "title": "Convert electrode table",
      "topics": [
        "convert_electrode_table_to_bids"
      ]
    },
    {
      "page": "export_table",
      "title": "Export data frame to different common formats",
      "topics": [
        "export_table",
        "import_table"
      ]
    },
    {
      "page": "generate_atlases_from_template",
      "title": "Create brain atlases from template",
      "topics": [
        "generate_atlases_from_template"
      ]
    },
    {
      "page": "generate_reference",
      "title": "Generate common average reference signal for 'RAVE' subjects",
      "topics": [
        "generate_reference"
      ]
    },
    {
      "page": "get_available_morph_to_template",
      "title": "Get names of available non-linear transforms to the templates",
      "topics": [
        "get_available_morph_to_template"
      ]
    },
    {
      "page": "get_projects",
      "title": "Get all possible projects in 'RAVE' default directory",
      "topics": [
        "get_projects"
      ]
    },
    {
      "page": "glimpse-repository",
      "title": "Visualizes repositories with interactive plots",
      "topics": [
        "glimpse-repository",
        "glimpse_voltage_filearray",
        "glimpse_voltage_repository_with_blocks"
      ]
    },
    {
      "page": "import-signals",
      "title": "Import signal data into 'RAVE'",
      "topics": [
        "import-signals",
        "import_from_brainvis",
        "import_from_edf",
        "import_from_h5_mat_per_block",
        "import_from_h5_mat_per_channel",
        "import_from_nevnsx"
      ]
    },
    {
      "page": "install_openneuro",
      "title": "Install data-sets from OpenNeuro",
      "topics": [
        "install_openneuro"
      ]
    },
    {
      "page": "install_subject",
      "title": "Install a subject from the internet, a zip file or a directory",
      "topics": [
        "install_subject"
      ]
    },
    {
      "page": "LFP_electrode",
      "title": "Definitions of electrode with local field potential signal type",
      "topics": [
        "LFP_electrode"
      ]
    },
    {
      "page": "LFP_reference",
      "title": "Definitions of reference with local field potential signal type",
      "topics": [
        "LFP_reference"
      ]
    },
    {
      "page": "meta-data",
      "title": "Load or save meta data to 'RAVE' subject",
      "topics": [
        "load_meta2",
        "meta-data",
        "save_meta2"
      ]
    },
    {
      "page": "new_electrode",
      "title": "Create new electrode channel instance or a reference signal instance",
      "topics": [
        "new_electrode",
        "new_reference"
      ]
    },
    {
      "page": "new_rave_subject",
      "title": "Get 'RAVESubject' instance from character",
      "topics": [
        "as_rave_subject",
        "has_rave_subject",
        "new_rave_subject"
      ]
    },
    {
      "page": "niftyreg_coreg",
      "title": "Register a computerized tomography (CT) image to MRI via ''NiftyReg''",
      "topics": [
        "cmd_run_niftyreg_coreg",
        "niftyreg_coreg"
      ]
    },
    {
      "page": "plot_volume_slices",
      "title": "Plot volume slices into scalable vector graphics SVG images",
      "topics": [
        "plot_volume_slices"
      ]
    },
    {
      "page": "power_baseline",
      "title": "Calculate power baseline",
      "topics": [
        "power_baseline",
        "power_baseline.array",
        "power_baseline.FileArray",
        "power_baseline.rave_prepare_power"
      ]
    },
    {
      "page": "prepare_subject_bare",
      "title": "'RAVE' repository: basic",
      "topics": [
        "prepare_subject_bare",
        "prepare_subject_bare0"
      ]
    },
    {
      "page": "prepare_subject_with_blocks",
      "title": "'RAVE' repository: with entire recording blocks",
      "topics": [
        "prepare_subject_phase_with_blocks",
        "prepare_subject_power_with_blocks",
        "prepare_subject_raw_voltage_with_blocks",
        "prepare_subject_time_frequency_coefficients_with_blocks",
        "prepare_subject_voltage_with_blocks",
        "prepare_subject_with_blocks"
      ]
    },
    {
      "page": "prepare_subject_with_epochs",
      "title": "'RAVE' repository: with epochs",
      "topics": [
        "prepare_subject_phase_with_epochs",
        "prepare_subject_power",
        "prepare_subject_power_with_epochs",
        "prepare_subject_raw_voltage_with_epochs",
        "prepare_subject_time_frequency_coefficients_with_epochs",
        "prepare_subject_voltage_with_epochs",
        "prepare_subject_with_epochs"
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