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type: software
license: MIT
title: 'drmeta: Design-Indexed Location-Scale Meta-Analysis'
version: 0.2.2
doi: 10.32614/CRAN.package.drmeta
abstract: Fits constrained and unrestricted meta-analytic location-scale models in
  which residual between-study heterogeneity is modeled as an exponential function
  of a prespecified design-robustness score. The package supports maximum-likelihood
  (ML) and restricted maximum-likelihood (REML) estimation, location moderators, the
  conventional random-effects model as a nested special case, exact estimation at
  the nonnegative scale-gradient boundary, design-indexed heterogeneity summaries,
  scale-attenuation measures, prediction of fitted heterogeneity, leave-one-out influence
  diagnostics, and parametric-bootstrap inference for the scale gradient. Because
  the scale-gradient null lies on the boundary of the constrained parameter space,
  standard chi-square likelihood-ratio references do not apply (Self and Liang, 1987,
  <https://doi.org/10.1080/01621459.1987.10478472>). The general location-scale parent
  model is described in Viechtbauer and Lopez-Lopez (2022, <https://doi.org/10.1002/jrsm.1562>).
  A scale model reweights studies and does not adjust the mean for design-linked bias.
authors:
- family-names: Hait
  given-names: Subir
  email: haitsubi@msu.edu
  orcid: https://orcid.org/0009-0004-9871-9677
repository: https://subirhait.r-universe.dev
repository-code: https://github.com/causalfragility-lab/drmeta
commit: 57d1f3297f9a6e1154bd04525e1a844abd6214ab
url: https://github.com/causalfragility-lab/drmeta
date-released: '2026-08-28'
contact:
- family-names: Hait
  given-names: Subir
  email: haitsubi@msu.edu
  orcid: https://orcid.org/0009-0004-9871-9677