drmeta
Design-Robust Meta-Analysis via Variance-Function Models
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | drmeta_0.1.0.tar.gz |
151.4 KiB |
0.1.0 |
rolling linux/noble R-4.5 | drmeta_0.1.0.tar.gz |
151.3 KiB |
0.1.0 |
rolling source/ R- | drmeta_0.1.0.tar.gz |
74.4 KiB |
0.1.0 |
latest linux/jammy R-4.5 | drmeta_0.1.0.tar.gz |
151.4 KiB |
0.1.0 |
latest linux/noble R-4.5 | drmeta_0.1.0.tar.gz |
151.3 KiB |
0.1.0 |
latest source/ R- | drmeta_0.1.0.tar.gz |
74.4 KiB |
0.1.0 |
2026-04-26 source/ R- | drmeta_0.1.0.tar.gz |
74.4 KiB |
0.1.0 |
2026-04-23 source/ R- | drmeta_0.1.0.tar.gz |
74.4 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | drmeta_0.1.0.zip |
153.2 KiB |