WMAP: Weighted Meta-Analysis with Pseudo-Populations
Implementation of integrative weighting approaches for multiple observational studies and causal inferences. The package features three weighting approaches, each representing a special case of the unified weighting framework, introduced by Guha and Li (2024) <doi:10.1093/biomtc/ujae070>, which includes an extension of inverse probability weights for data integration settings.
| Version: |
1.3.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
pkgcond, ggplot2, zeallot, randomForest, ranger, forcats, utils, stats |
| Suggests: |
future (≥ 1.33.0), future.apply (≥ 1.11.0), parallelly (≥
1.37.0), knitr, rmarkdown |
| Published: |
2026-06-05 |
| DOI: |
10.32614/CRAN.package.WMAP |
| Author: |
Subharup Guha [aut, cre],
Mengqi Xu [aut],
Chayce Reed [aut],
Kashish Priyam [aut],
Yi Li [aut] |
| Maintainer: |
Subharup Guha <Subharup.Guha at dartmouth.edu> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
WMAP results |
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