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:
RcausalEGM_0.3.3.tar.gz
RcausalEGM_0.3.3.zip(r-4.5)RcausalEGM_0.3.3.zip(r-4.4)RcausalEGM_0.3.3.zip(r-4.3)
RcausalEGM_0.3.3.tgz(r-4.4-any)RcausalEGM_0.3.3.tgz(r-4.3-any)
RcausalEGM_0.3.3.tar.gz(r-4.5-noble)RcausalEGM_0.3.3.tar.gz(r-4.4-noble)
RcausalEGM_0.3.3.tgz(r-4.4-emscripten)RcausalEGM_0.3.3.tgz(r-4.3-emscripten)
RcausalEGM.pdf |RcausalEGM.html✨
RcausalEGM/json (API)
NEWS
| # Install 'RcausalEGM' in R: |
| install.packages('RcausalEGM', repos = c('https://teddy880.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/suwonglab/causalegm/issues
Last updated 2 years agofrom:af91dbabbd. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 05 2024 |
| R-4.5-win | OK | Nov 05 2024 |
| R-4.5-linux | OK | Nov 05 2024 |
| R-4.4-win | OK | Nov 05 2024 |
| R-4.4-mac | OK | Nov 05 2024 |
| R-4.3-win | OK | Nov 05 2024 |
| R-4.3-mac | OK | Nov 05 2024 |
Exports:causalegmget_estinstall_causalegm
Dependencies:herejsonlitelatticeMatrixpngrappdirsRcppRcppTOMLreticulaterlangrprojrootwithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Main function for estimating causal effect in either binary or continuous treatment settings. | causalegm |
| Make predictions with causalEGM model. | get_est |
| Install the python CausalEGM package | install_causalegm |
