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: | 1.3.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | pkgcond, ggplot2, zeallot, randomForest, ranger, forcats, utils, stats |
| Suggests: | future (≥ 1.33.0), future.apply (≥ 1.11.0), parallelly (≥ 1.37.0), knitr, rmarkdown |
| Published: | 2026-06-09 |
| DOI: | 10.32614/CRAN.package.WMAP |
| Author: | Subharup Guha [aut, cre], Mengqi Xu [aut], Chayce Reed [aut], Kashish Priyam [aut], Yi Li [aut] |
| Maintainer: | Subharup Guha <Subharup.Guha at dartmouth.edu> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | WMAP results |
| Reference manual: | WMAP.html , WMAP.pdf |
| Vignettes: |
WMAP (source, R code) |
| Package source: | WMAP_1.3.1.tar.gz |
| Windows binaries: | r-devel: WMAP_1.3.1.zip, r-release: WMAP_1.3.0.zip, r-oldrel: WMAP_1.3.1.zip |
| macOS binaries: | r-release (arm64): WMAP_1.3.1.tgz, r-oldrel (arm64): WMAP_1.3.1.tgz, r-release (x86_64): WMAP_1.3.1.tgz, r-oldrel (x86_64): WMAP_1.3.1.tgz |
| Old sources: | WMAP archive |
Please use the canonical form https://CRAN.R-project.org/package=WMAP to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.