Package: WMAP
Title: Weighted Meta-Analysis with Pseudo-Populations
Version: 1.3.2
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, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2026-10-07 09:38:53 UTC; root
Author: Subharup Guha [aut, cre], Mengqi Xu [aut], Chayce Reed [aut],
        Kashish Priyam [aut], Yi Li [aut]
Maintainer: Subharup Guha <Subharup.Guha@dartmouth.edu>
VignetteBuilder: knitr
Config/testthat/edition: 3
Repository: https://cran.r-universe.dev
Date/Publication: 2026-10-05 22:46:33 UTC
RemoteUrl: https://github.com/cran/WMAP
RemoteRef: HEAD
RemoteSha: 3e83ea0b23480421301375ae63996aa085bb3ca4