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metagroup

INFRA · APIS
Velocity0.0

Meaningful Grouping of Studies in Meta-Analysis

github.com/asmpro7/metagroup ↗

A first release that turns meta-analytic heterogeneity into interpretable subgroups.

meta-analysisheterogeneityclusteringfirst-releasecran
◆Current state
metagroup reached CRAN in late August with a complete first release: eight grouping functions covering binary, continuous, correlational, proportion, incidence and generic inverse-variance data, plus interpretation and plotting on top. The two releases since are CRAN review housekeeping. The package has shipped nothing but its launch.
◆Where it's heading
The design is a two-step pipeline, partitioning studies into homogeneous clusters and then characterising what those clusters have in common, which puts interpretation rather than detection at the centre. The follow-up releases suggest the author is still clearing the CRAN intake process rather than extending the method.
◆Prediction
The next substantive release most likely broadens the interpretation side, since the grouping functions already cover the standard effect-size types.

◆Recent moves

  1. 11mo ago

    CRAN review feedback: description and documentation polish

    CRAN review follow-up: description text refined, function names parenthesised, and value sections added to the print and plot methods. Documentation only.

    View source ↗
  2. 11mo ago

    LICENSE file removed for CRAN submission

    Removes the bundled LICENSE file so the package can be submitted to CRAN. Packaging only.

    View source ↗
  3. 11mo ago

    First release: homogeneity-based subgrouping for meta-analysis

    ⚡ SPARK

    The package itself: ten functions implementing homogeneity-based grouping across every common effect-size type, then a meaning() step that reads the resulting subgroups back as an explanation of heterogeneity.

    View source ↗