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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.3.3 |
rolling linux/jammy R-4.5 | RcausalEGM_0.3.3.tar.gz |
186.4 KiB |
0.3.3 |
rolling linux/noble R-4.5 | RcausalEGM_0.3.3.tar.gz |
186.3 KiB |
0.3.3 |
rolling source/ R- | RcausalEGM_0.3.3.tar.gz |
170.3 KiB |
0.3.3 |
latest linux/jammy R-4.5 | RcausalEGM_0.3.3.tar.gz |
186.4 KiB |
0.3.3 |
latest linux/noble R-4.5 | RcausalEGM_0.3.3.tar.gz |
186.3 KiB |
0.3.3 |
latest source/ R- | RcausalEGM_0.3.3.tar.gz |
170.3 KiB |
0.3.3 |
2026-04-26 source/ R- | RcausalEGM_0.3.3.tar.gz |
170.3 KiB |
0.3.3 |
2026-04-23 source/ R- | RcausalEGM_0.3.3.tar.gz |
170.3 KiB |
0.3.3 |
2026-04-09 windows/windows R-4.5 | RcausalEGM_0.3.3.zip |
190.2 KiB |
0.3.3 |
2025-04-20 source/ R- | RcausalEGM_0.3.3.tar.gz |
170.3 KiB |