CausalEGM is a general causal inference framework for estimating causal effects by encoding generative modeling, which can be applied in both discrete and continuous treatment settings. A description of the methods is given in Liu (2022) <doi:10.48550/arXiv.2212.05925>.
| Version: | 0.3.3 |
| Depends: | R (≥ 3.6.0) |
| Imports: | reticulate |
| Suggests: | rmarkdown, knitr, testthat (≥ 3.0.0) |
| Published: | 2023-03-28 |
| DOI: | 10.32614/CRAN.package.RcausalEGM |
| Author: | Qiao Liu [aut, cre], Wing Wong [aut], Balasubramanian Narasimhan [ctb] |
| Maintainer: | Qiao Liu <liuqiao at stanford.edu> |
| BugReports: | https://github.com/SUwonglab/CausalEGM/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/SUwonglab/CausalEGM |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | RcausalEGM results |
| Reference manual: | RcausalEGM.pdf |
| Vignettes: |
Binary Treatment Continous Treatment |
| Package source: | RcausalEGM_0.3.3.tar.gz |
| Windows binaries: | r-devel: RcausalEGM_0.3.3.zip, r-release: RcausalEGM_0.3.3.zip, r-oldrel: RcausalEGM_0.3.3.zip |
| macOS binaries: | r-release (arm64): RcausalEGM_0.3.3.tgz, r-oldrel (arm64): RcausalEGM_0.3.3.tgz, r-release (x86_64): RcausalEGM_0.3.3.tgz, r-oldrel (x86_64): RcausalEGM_0.3.3.tgz |
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