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type: software
license: MIT
title: 'drmeta: Design-Robust Meta-Analysis via Variance-Function Models'
version: 0.1.0
doi: 10.32614/CRAN.package.drmeta
abstract: Implements Design-Robust Meta-Analysis (DR-Meta), a variance-function random-effects
  framework in which between-study heterogeneity is modelled as a function of a study-level
  design robustness index, allowing heterogeneity to depend systematically on study
  quality or design strength rather than being treated as a single nuisance parameter.
  The package provides profiled restricted maximum likelihood (REML) estimation of
  the overall effect and variance-function parameters, study-specific weights, heterogeneity
  diagnostics (tau-squared, I-squared), influence and leave-one-out analysis, and
  graphical tools including forest plots and influence plots. The DR-Meta framework
  nests classical fixed-effects and standard random-effects meta-analysis as special
  cases, making it a strict generalisation of existing approaches.
authors:
- family-names: Hait
  given-names: Subir
  email: haitsubi@msu.edu
  orcid: https://orcid.org/0009-0004-9871-9677
repository: https://causalfragility-lab.r-universe.dev
repository-code: https://github.com/causalfragility-lab/drmeta
commit: e44077036bf9523b5fbde9dab0333f863e028dc7
url: https://github.com/causalfragility-lab/drmeta
date-released: '2026-04-01'
contact:
- family-names: Hait
  given-names: Subir
  email: haitsubi@msu.edu
  orcid: https://orcid.org/0009-0004-9871-9677