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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 |
| Reference manual: | WMAP.pdf |
| 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 |
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These binaries (installable software) and packages are in development.
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