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  "Title": "Design-Indexed Location-Scale Meta-Analysis",
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  "Description": "Fits constrained and unrestricted meta-analytic\nlocation-scale models in which residual between-study\nheterogeneity is modeled as an exponential function of a\nprespecified design-robustness score. The package supports\nmaximum-likelihood (ML) and restricted maximum-likelihood\n(REML) estimation, location moderators, the conventional\nrandom-effects model as a nested special case, exact estimation\nat the nonnegative scale-gradient boundary, design-indexed\nheterogeneity summaries, scale-attenuation measures, prediction\nof fitted heterogeneity, leave-one-out influence diagnostics,\nand parametric-bootstrap inference for the scale gradient.\nBecause the scale-gradient null lies on the boundary of the\nconstrained parameter space, standard chi-square\nlikelihood-ratio references do not apply (Self and Liang, 1987,\n<doi:10.1080/01621459.1987.10478472>). The general\nlocation-scale parent model is described in Viechtbauer and\nLopez-Lopez (2022, <doi:10.1002/jrsm.1562>). A scale model\nreweights studies and does not adjust the mean for\ndesign-linked bias.",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/causalfragility-lab/drmeta",
  "BugReports": "https://github.com/causalfragility-lab/drmeta/issues",
  "Encoding": "UTF-8",
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  "Repository": "https://subirhait.r-universe.dev",
  "Date/Publication": "2026-08-28 21:10:34 UTC",
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    "User": "root"
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  "Author": "Subir Hait [aut, cre, cph] (ORCID:\n<https://orcid.org/0009-0004-9871-9677>)",
  "Maintainer": "Subir Hait <haitsubi@msu.edu>",
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      "title": "S3 methods for drmeta objects",
      "topics": [
        "coef.drmeta",
        "confint.drmeta",
        "drmeta-methods",
        "fitted.drmeta",
        "logLik.drmeta",
        "print.drmeta",
        "print.summary.drmeta",
        "residuals.drmeta",
        "summary.drmeta",
        "vcov.drmeta"
      ]
    },
    {
      "page": "dr_from_design",
      "title": "Map study design labels to illustrative design-robustness scores",
      "topics": [
        "dr_from_design"
      ]
    },
    {
      "page": "dr_heterogeneity",
      "title": "Classical heterogeneity diagnostics and design-indexed summaries",
      "topics": [
        "dr_heterogeneity"
      ]
    },
    {
      "page": "dr_loo",
      "title": "Leave-one-out influence diagnostics",
      "topics": [
        "dr_loo"
      ]
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    {
      "page": "dr_plot_vfun",
      "title": "Plot the fitted variance function",
      "topics": [
        "dr_plot_vfun"
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    },
    {
      "page": "dr_scale_attenuation",
      "title": "Proportional attenuation in fitted heterogeneity",
      "topics": [
        "dr_scale_attenuation"
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    {
      "page": "dr_scale_predict",
      "title": "Predict the fitted between-study variance",
      "topics": [
        "dr_scale_predict"
      ]
    },
    {
      "page": "dr_score",
      "title": "Build a design-robustness index from sub-scores",
      "topics": [
        "dr_score"
      ]
    },
    {
      "page": "drmeta",
      "title": "Fit a design-indexed meta-analytic location-scale model",
      "topics": [
        "drmeta"
      ]
    },
    {
      "page": "drmeta_bootstrap_gamma",
      "title": "Parametric-bootstrap test of the constrained scale gradient",
      "topics": [
        "drmeta_bootstrap_gamma"
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      "title": "Rescale a numeric vector to the unit interval",
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