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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: 1.1.0
Depends: R (≥ 3.5.0)
Imports: pkgcond, ggplot2, zeallot, caret, randomForest, forcats, utils, stats, grDevices
Published: 2024-11-30
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.pdf

Downloads:

Package source: WMAP_1.1.0.tar.gz
Windows binaries: r-devel: WMAP_1.1.0.zip, r-release: WMAP_1.1.0.zip, r-oldrel: WMAP_1.1.0.zip
macOS binaries: r-release (arm64): WMAP_1.1.0.tgz, r-oldrel (arm64): WMAP_1.1.0.tgz, r-release (x86_64): WMAP_1.1.0.tgz, r-oldrel (x86_64): WMAP_1.1.0.tgz
Old sources: WMAP archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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