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
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_1.0.0.zip, r-release: WMAP_1.0.0.zip, r-oldrel: WMAP_1.0.0.zip
macOS binaries:	r-release (arm64): WMAP_1.0.0.tgz, r-oldrel (arm64): WMAP_1.0.0.tgz, r-release (x86_64): WMAP_1.0.0.tgz, r-oldrel (x86_64): WMAP_1.0.0.tgz
Old sources:	WMAP archive

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