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  "Title": "Automated Eye Tracking Data Quality Determination for\nScreen-Based Eye Trackers",
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  "Description": "Compute common data quality metrics for accuracy,\nprecision and data loss for screen-based eye trackers. The\npackage supports gaze input in screen pixels or degrees and\nreports angular measures in degrees where appropriate. If you\nuse this package, please cite Niehorster, D.C., Nyström, M.,\nHessels, R.S., Benjamins, J.S., Andersson, R., and Hooge,\nI.T.C. (2026). The fundamentals of eye tracking, Part 7:\nDetermining data quality. Behavior Research Methods.\n<doi:10.3758/s13428-026-03039-4>.",
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      "title": "Compute Gaze Accuracy",
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      "title": "Compute Data Quality Metrics from Validation Data",
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      "title": "Compute Data Loss from Expected Sample Count",
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      "title": "Compute Data Loss from number of invalid samples.",
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      ]
    },
    {
      "page": "DataQuality",
      "title": "R6 class for calculating Data Quality from a gaze data segment",
      "topics": [
        "DataQuality"
      ]
    },
    {
      "page": "effective_frequency",
      "title": "Compute Effective Sampling Frequency",
      "topics": [
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      ]
    },
    {
      "page": "ETDQ_version",
      "title": "Get ETDQualitizer Version",
      "topics": [
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      ]
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      "title": "Convert Fick Angles to 3D Vector",
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      "title": "Precision Using Moving Window",
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      "title": "Summarize and Report Data Quality Metrics",
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    },
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      "title": "Standard Deviation of Gaze Samples",
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      "title": "Convert 3D Vector to Fick Angles",
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