Package: drmeta
Title: Design-Robust Meta-Analysis via Variance-Function Models
Version: 0.1.0
Authors@R: 
    person("Subir", "Hait",
           email = "haitsubi@msu.edu",
           role = c("aut", "cre"),
           comment = c(ORCID = "0009-0004-9871-9677"))
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
Depends: R (>= 4.1.0)
Imports: grDevices, graphics, stats, utils
Suggests: ggplot2 (>= 3.4.0), knitr, metafor (>= 4.0.0), rmarkdown,
        testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/causalfragility-lab/drmeta
BugReports: https://github.com/causalfragility-lab/drmeta/issues
NeedsCompilation: no
Packaged: 2026-04-01 22:48:08 UTC; Subir
Author: Subir Hait [aut, cre] (ORCID: <https://orcid.org/0009-0004-9871-9677>)
Maintainer: Subir Hait <haitsubi@msu.edu>
Repository: CRAN
Date/Publication: 2026-04-08 18:40:03 UTC
Built: R 4.6.0; ; 2026-04-25 10:49:51 UTC; unix
