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  "Description": "Implements the Segment Profile Extraction via Pattern\nAnalysis method for row-mean-centered multivariate data. Core\ncapabilities include SVD-based row-isometric biplot\nconstruction, bias-corrected and accelerated, and percentile\nbootstrap confidence intervals for domain coordinates and\nper-person direction cosines, Procrustes alignment of bootstrap\nreplicates across planes, parallel analysis for dimensionality\nselection, and segment profile reconstruction in planes defined\nby pairs of singular dimensions. A synthetic Woodcock-Johnson\nIV look-alike dataset is provided for examples and testing. The\nmethod is described in Kim and Grochowalski (2019)\n<doi:10.1007/s00357-018-9277-7>.",
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  "Author": "Se-Kang Kim [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-0928-3396>)",
  "Maintainer": "Se-Kang Kim <se-kang.kim@bcm.edu>",
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      "title": "Segment Profile Extraction via Pattern Analysis: A Workflow Guide",
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        "Example 1: Binary Data",
        "Data",
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        "Load and Inspect Precomputed Results",
        "Parallel Analysis",
        "Bootstrap Stability Diagnostics",
        "ALSI Computation",
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        "Example 3: Continuous Data",
        "Continuous ALSI Computation and Domain Contributions",
        "Comparison with SEPA Plane-Wise Summaries",
        "Session Information"
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