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  "Package": "CEDMr",
  "Title": "Capability-Ecological Developmental Model (CEDM) Analysis",
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  "Description": "Provides tools for implementing the Capability-Ecological\nDevelopmental Model (CEDM) in longitudinal and multilevel data.\nThe package supports estimation and interpretation of models\nexamining how socioeconomic status (SES), health indicators,\nand contextual factors jointly relate to academic outcomes.\nFunctionality includes: (1) classification of ecological\ncapability regimes (amplifying, neutral, compensatory); (2)\nestimation of moderated multilevel models with higher-order\ninteraction terms; (3) causal mediation analysis using doubly\nrobust estimation; (4) random-effects within-between (REWB)\ndecomposition; (5) nonlinear moderation using restricted cubic\nsplines; (6) clustering of longitudinal health trajectories;\nand (7) sensitivity analysis using the impact threshold for a\nconfounding variable (ITCV) and robustness-to-replacement (RIR)\nmeasures. The package is designed for use with general\nlongitudinal multilevel datasets.",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/causalfragility-lab/CEDMr",
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  "Repository": "https://causalfragility-lab.r-universe.dev",
  "Date/Publication": "2026-04-01 14:24:27 UTC",
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  "Maintainer": "Subir Hait <haitsubi@msu.edu>",
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  "_updates": [
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      "week": "2026-13",
      "n": 13
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  "_realowner": "causalfragility-lab",
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    "cedm_mediation",
    "cedm_production",
    "cedm_rewb",
    "cedm_sensitivity",
    "cedm_simulate",
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      "page": "cedm_full_pipeline",
      "title": "Run the Full CEDM Analysis Pipeline",
      "topics": [
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      ]
    },
    {
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      "title": "CEDM Causal Mediation Analysis",
      "topics": [
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    },
    {
      "page": "cedm_production",
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    },
    {
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      "topics": [
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    {
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    },
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    },
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      "page": "plot_cedm_interaction",
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    },
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