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
Roxygen: list(markdown = TRUE)
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
Repository: https://causalfragility-lab.r-universe.dev
Date/Publication: 2026-04-01 22:46:53 UTC
RemoteUrl: https://github.com/causalfragility-lab/drmeta
RemoteRef: HEAD
RemoteSha: e44077036bf9523b5fbde9dab0333f863e028dc7
NeedsCompilation: no
Packaged: 2026-07-08 07:12:22 UTC; root
Author: Subir Hait [aut, cre] (ORCID: <https://orcid.org/0009-0004-9871-9677>)
Maintainer: Subir Hait <haitsubi@msu.edu>