RcausalEGM: A General Causal Inference Framework by Encoding Generative Modeling
Qiao Liu, Wing Wong · 2023
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) .