Package: RcausalEGM 0.3.3

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) <arxiv:2212.05925>.

Authors:Qiao Liu [aut, cre], Wing Wong [aut], Balasubramanian Narasimhan [ctb]

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RcausalEGM/json (API)
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Bug tracker:https://github.com/suwonglab/causalegm/issues

On CRAN:

3 exports 0.00 score 12 dependencies 6 scripts 168 downloads

Last updated 1 years agofrom:af91dbabbd. Checks:OK: 7. Indexed: yes.

Exports:causalegmget_estinstall_causalegm

Dependencies:herejsonlitelatticeMatrixpngrappdirsRcppRcppTOMLreticulaterlangrprojrootwithr