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  "Title": "Conduct Additional Modeling and Analysis for 'seminr'",
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  "Description": "Supplementary tools for evaluating and validating partial\nleast squares structural equation models estimated with\n'seminr'. Provides methods for predictive model assessment,\nimportance-performance analysis with necessary condition\ntesting, overfitting diagnostics, measurement model\nverification, mediator contribution analysis, unobserved\nheterogeneity detection via latent class and\nprediction-oriented segmentation, and congruence coefficient\ntesting. All functions accept estimated 'seminr' model objects\nand return results with print, summary, and plot methods.",
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    "assess_nca",
    "assess_nca_esse",
    "assess_pcm",
    "assess_pos",
    "assess_pos_compare",
    "competes",
    "congruence_test",
    "deviance_tree",
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    "pos_segments",
    "predictive_deviance",
    "unstable_params"
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        "assess_cipma"
      ]
    },
    {
      "page": "assess_coa",
      "title": "Composite Overfit Analysis (COA)",
      "topics": [
        "assess_coa"
      ]
    },
    {
      "page": "assess_cta",
      "title": "Confirmatory Tetrad Analysis for PLS-SEM (CTA-PLS)",
      "topics": [
        "assess_cta"
      ]
    },
    {
      "page": "assess_cvpat",
      "title": "Assess single model CVPAT against benchmarks",
      "topics": [
        "assess_cvpat"
      ]
    },
    {
      "page": "assess_cvpat_compare",
      "title": "Compare CVPAT loss between two PLS models",
      "topics": [
        "assess_cvpat_compare"
      ]
    },
    {
      "page": "assess_fimix",
      "title": "FIMIX-PLS Analysis for PLS-SEM",
      "topics": [
        "assess_fimix"
      ]
    },
    {
      "page": "assess_fimix_compare",
      "title": "Compare FIMIX-PLS Solutions Across Multiple K Values",
      "topics": [
        "assess_fimix_compare"
      ]
    },
    {
      "page": "assess_ipma",
      "title": "Importance-Performance Map Analysis (IPMA) for PLS-SEM",
      "topics": [
        "assess_ipma"
      ]
    },
    {
      "page": "assess_nca",
      "title": "Necessary Condition Analysis (NCA) for PLS-SEM Models",
      "topics": [
        "assess_nca"
      ]
    },
    {
      "page": "assess_nca_esse",
      "title": "NCA with Effect Size Sensitivity Extension (NCA-ESSE)",
      "topics": [
        "assess_nca_esse"
      ]
    },
    {
      "page": "assess_pcm",
      "title": "Predictive Contribution of the Mediator (PCM)",
      "topics": [
        "assess_pcm"
      ]
    },
    {
      "page": "assess_pos",
      "title": "PLS-POS: Prediction-Oriented Segmentation",
      "topics": [
        "assess_pos"
      ]
    },
    {
      "page": "assess_pos_compare",
      "title": "Compare PLS-POS Solutions Across K Values",
      "topics": [
        "assess_pos_compare"
      ]
    },
    {
      "page": "competes",
      "title": "Report Competing Split Criteria",
      "topics": [
        "competes"
      ]
    },
    {
      "page": "congruence_test",
      "title": "Bootstrap congruence coefficient test",
      "topics": [
        "congruence_test"
      ]
    },
    {
      "page": "deviance_tree",
      "title": "Build Deviance Tree",
      "topics": [
        "deviance_tree"
      ]
    },
    {
      "page": "group_rules",
      "title": "Extract Split Rules for Deviant Groups",
      "topics": [
        "group_rules"
      ]
    },
    {
      "page": "plot.cipma_analysis",
      "title": "Plot cIPMA Results",
      "topics": [
        "plot.cipma_analysis"
      ]
    },
    {
      "page": "plot.coa_analysis",
      "title": "Plot COA Results",
      "topics": [
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      ]
    },
    {
      "page": "plot.fimix_analysis",
      "title": "Plot FIMIX-PLS Results",
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        "plot.fimix_analysis"
      ]
    },
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      "title": "Plot FIMIX-PLS Comparison",
      "topics": [
        "plot.fimix_comparison"
      ]
    },
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      "title": "Plot NCA Results",
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        "plot.nca_analysis"
      ]
    },
    {
      "page": "plot.nca_esse",
      "title": "Plot NCA-ESSE Results",
      "topics": [
        "plot.nca_esse"
      ]
    },
    {
      "page": "plot.pcm_analysis",
      "title": "Plot PCM Results",
      "topics": [
        "plot.pcm_analysis"
      ]
    },
    {
      "page": "pos_segments",
      "title": "Extract Segment-Specific PLS Models from PLS-POS Results",
      "topics": [
        "pos_segments"
      ]
    },
    {
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      "title": "Compute Predictive Deviance",
      "topics": [
        "predictive_deviance"
      ]
    },
    {
      "page": "unstable_params",
      "title": "Assess Parameter Instability",
      "topics": [
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      ]
    }
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        "Functions",
        "The demo files for Hair et al. (2026)",
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        "Example",
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        "Combined Importance-Performance Map Analysis (cIPMA)",
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