RcausalEGM
A General Causal Inference Framework by Encoding Generative Modeling
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)
- Version0.3.3
- R version≥ 3.6.0
- LicenseMIT
- Licensefile LICENSE
- Needs compilation?No
- Last release03/28/2023
Documentation
Team
Qiao Liu
Wing Wong
Show author detailsRolesAuthorBalasubramanian Narasimhan
Show author detailsRolesContributor
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- Depends1 package
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