RcausalEGM

A General Causal Inference Framework by Encoding Generative Modeling

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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.


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