Weighted Meta-Analysis with Pseudo-Populations R package WMAP version 1.3.1 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. Software 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 Subharup Guha <Subharup.Guha@dartmouth.edu> Comprehensive R Archive Network (CRAN) Subharup Guha [aut, cre], Mengqi Xu [aut], Chayce Reed [aut], Kashish Priyam [aut], Yi Li [aut] GPL-3 2026-06-09 application/tgz https://CRAN.R-project.org/package=WMAP doi:10.32614/CRAN.package.WMAP