Package: WMAP
Title: Weighted Meta-Analysis with Pseudo-Populations
Version: 1.3.1
Authors@R: c(
  person("Subharup", "Guha", , "Subharup.Guha@dartmouth.edu", role = c("aut","cre")),
  person("Mengqi", "Xu", , "m332xu@uwaterloo.ca", role = c("aut")),
  person("Chayce", "Reed", , "Chayce.Reed.HSE@dartmouth.edu", role = c("aut")),
  person("Kashish", "Priyam", , "25kashishp@students.harker.org", role = c("aut")),
  person("Yi", "Li", , "yili@umich.edu", role = c("aut")))
Description: 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. 
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.3
LazyData: true
Imports: pkgcond, ggplot2, zeallot, randomForest, ranger, forcats,
        utils, stats
Depends: R (>= 3.5.0)
Suggests: future (>= 1.33.0), future.apply (>= 1.11.0), parallelly (>=
        1.37.0), knitr, rmarkdown
NeedsCompilation: no
Packaged: 2026-06-09 12:23:46 UTC; chayce
Author: Subharup Guha [aut, cre],
  Mengqi Xu [aut],
  Chayce Reed [aut],
  Kashish Priyam [aut],
  Yi Li [aut]
Maintainer: Subharup Guha <Subharup.Guha@dartmouth.edu>
Repository: CRAN
Date/Publication: 2026-06-09 14:50:02 UTC
VignetteBuilder: knitr
Built: R 4.6.0; ; 2026-06-09 16:29:38 UTC; unix
