The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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: | 1.0.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | pkgcond, ggplot2, zeallot, caret, randomForest, forcats, utils, stats, grDevices |
| Published: | 2024-11-07 |
| 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_1.0.0.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 |
Please use the canonical form https://CRAN.R-project.org/package=WMAP to link to this page.
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.