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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:1.2.0
Depends:R (≥ 3.5.0)
Imports:pkgcond,ggplot2,zeallot,caret,randomForest,forcats, utils, stats, grDevices
Published:2025-06-17
DOI:10.32614/CRAN.package.WMAP
Author:Subharup Guha [aut, cre], Mengqi Xu [aut], Kashish Priyam [aut], Yi Li [aut]
Maintainer:Subharup Guha <s.guha at ufl.edu>
License:GPL-3
NeedsCompilation:no
CRAN checks:WMAP results

Documentation:

Reference manual:WMAP.html ,WMAP.pdf

Downloads:

Package source: WMAP_1.2.0.tar.gz
Windows binaries: r-devel:WMAP_1.2.0.zip, r-release:WMAP_1.2.0.zip, r-oldrel:WMAP_1.2.0.zip
macOS binaries: r-release (arm64):WMAP_1.2.0.tgz, r-oldrel (arm64):WMAP_1.2.0.tgz, r-release (x86_64):WMAP_1.2.0.tgz, r-oldrel (x86_64):WMAP_1.2.0.tgz
Old sources: WMAP archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=WMAPto link to this page.


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