{
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  "Package": "alsi",
  "Type": "Package",
  "Title": "Aggregated Latent Space Index for Binary, Ordinal, and\nContinuous Data",
  "Version": "0.2.0",
  "Date": "2026-03-03",
  "Authors@R": "person(\"Se-Kang\", \"Kim\",\nemail = \"se-kang.kim@bcm.edu\",\nrole  = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-0928-3396\"))",
  "Description": "Provides three stability-validated pipelines for computing\nan Aggregated Latent Space Index (ALSI): a binary MCA pipeline\n(alsi_workflow()), an ordinal pipeline using homals alternating\nleast squares optimal scaling (alsi_workflow_ordinal()), and a\ncontinuous ipsatized SVD pipeline (calsi_workflow()).  All\nthree pipelines share a common bootstrap dual-criterion\nstability framework (principal angles and Tucker congruence\nphi) for determining the number of dimensions to retain before\nindex construction.  The package is designed to complement\nSegmented Profile Analysis (SEPA) and is intended for\npsychometric scale construction and dimensional reduction in\nsurvey and clinical research.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
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  "Language": "en-US",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-02 09:30:04 UTC",
    "User": "root"
  },
  "Author": "Se-Kang Kim [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-0928-3396>)",
  "Maintainer": "Se-Kang Kim <se-kang.kim@bcm.edu>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2026-03-04 08:40:18 UTC",
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  "RemoteRef": "HEAD",
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      "date": "2026-02-17"
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/alsi"
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  "_exports": [
    "alsi",
    "alsi_workflow",
    "alsi_workflow_ordinal",
    "calsi",
    "calsi_vs_sepa_demo",
    "calsi_workflow",
    "compare_sepa_calsi",
    "mca_align",
    "mca_bootstrap",
    "mca_pa",
    "plot_category_projections",
    "plot_domain_loadings",
    "plot_subspace_stability",
    "plot_subspace_stability_cont",
    "svd_align",
    "svd_bootstrap",
    "svd_pa"
  ],
  "_datasets": [
    {
      "name": "ANR2",
      "title": "ANR2: Binary Psychiatric Comorbidity Dataset",
      "object": "ANR2",
      "class": [
        "data.frame"
      ],
      "fields": [
        "MDD",
        "DYS",
        "DEP",
        "PTSD",
        "OCD",
        "GAD",
        "ANX",
        "SOPH",
        "ADHD",
        "pre_bmi",
        "post_bmi",
        "pre_EDI",
        "post_EDI"
      ],
      "rows": 1261,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "alsi",
      "title": "Compute Aggregated Latent Space Index (ALSI)",
      "topics": [
        "alsi"
      ]
    },
    {
      "page": "alsi_workflow",
      "title": "Complete ALSI Analysis Workflow",
      "topics": [
        "alsi_workflow"
      ]
    },
    {
      "page": "alsi_workflow_ordinal",
      "title": "Ordinal ALSI pipeline via homals ALS optimal scaling",
      "topics": [
        "alsi_workflow_ordinal"
      ]
    },
    {
      "page": "ANR2",
      "title": "ANR2: Binary Psychiatric Comorbidity Dataset",
      "topics": [
        "ANR2"
      ]
    },
    {
      "page": "calsi",
      "title": "Compute Continuous Aggregated Latent Space Index (cALSI)",
      "topics": [
        "calsi"
      ]
    },
    {
      "page": "calsi_vs_sepa_demo",
      "title": "Demonstrate what cALSI adds beyond SEPA",
      "topics": [
        "calsi_vs_sepa_demo"
      ]
    },
    {
      "page": "calsi_workflow",
      "title": "Complete cALSI Workflow for Continuous Data",
      "topics": [
        "calsi_workflow"
      ]
    },
    {
      "page": "compare_sepa_calsi",
      "title": "Compare SEPA plane-wise summaries with cALSI",
      "topics": [
        "compare_sepa_calsi"
      ]
    },
    {
      "page": "mca_align",
      "title": "Align MCA solution via Procrustes rotation with sign anchoring",
      "topics": [
        "mca_align"
      ]
    },
    {
      "page": "mca_bootstrap",
      "title": "Bootstrap-Based Subspace Stability Assessment",
      "topics": [
        "mca_bootstrap"
      ]
    },
    {
      "page": "mca_pa",
      "title": "Parallel Analysis for MCA Dimensionality Assessment",
      "topics": [
        "mca_pa"
      ]
    },
    {
      "page": "plot_category_projections",
      "title": "Plot Category Projections in MCA Space",
      "topics": [
        "plot_category_projections"
      ]
    },
    {
      "page": "plot_domain_loadings",
      "title": "Plot Domain Loadings in SVD Space",
      "topics": [
        "plot_domain_loadings"
      ]
    },
    {
      "page": "plot_subspace_stability",
      "title": "Plot Subspace Stability Diagnostics",
      "topics": [
        "plot_subspace_stability"
      ]
    },
    {
      "page": "plot_subspace_stability_cont",
      "title": "Plot Subspace Stability Diagnostics for Continuous Data",
      "topics": [
        "plot_subspace_stability_cont"
      ]
    },
    {
      "page": "svd_align",
      "title": "Align SVD solution via Procrustes rotation with sign anchoring",
      "topics": [
        "svd_align"
      ]
    },
    {
      "page": "svd_bootstrap",
      "title": "Bootstrap-Based Subspace Stability Assessment for Ipsatized SVD",
      "topics": [
        "svd_bootstrap"
      ]
    },
    {
      "page": "svd_pa",
      "title": "Parallel Analysis for Ipsatized SVD Dimensionality Assessment",
      "topics": [
        "svd_pa"
      ]
    }
  ],
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    "digest",
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    "lattice",
    "nlme",
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