RcausalEGM

cranv0.3.3

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) <arXiv:2212.05925>.

License MIT + file LICENSE0 versions1 maintainers1 deps58 weekly dl
SUwonglab/CausalEGM
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  • Low health score (36/100)
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0/25
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25/25
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9/15
maturity
2/15
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First published · 2023-03-28 12:27:21

Last updated · 2023-03-28T11:00:11+00:00

RcausalEGM — Health Score 36/100 | DepScope