Package: PCL 1.0
PCL: Proximal Causal Learning
We fit causal models using proxies. We implement two stage proximal least squares estimator. E.J. Tchetgen Tchetgen, A. Ying, Y. Cui, X. Shi, and W. Miao. (2020). An Introduction to Proximal Causal Learning. arXiv e-prints, arXiv-2009 <arxiv:2009.10982>.
Authors:
PCL_1.0.tar.gz
PCL_1.0.zip(r-4.5)PCL_1.0.zip(r-4.4)PCL_1.0.zip(r-4.3)
PCL_1.0.tgz(r-4.4-any)PCL_1.0.tgz(r-4.3-any)
PCL_1.0.tar.gz(r-4.5-noble)PCL_1.0.tar.gz(r-4.4-noble)
PCL_1.0.tgz(r-4.4-emscripten)PCL_1.0.tgz(r-4.3-emscripten)
PCL.pdf |PCL.html✨
PCL/json (API)
# Install 'PCL' in R: |
install.packages('PCL', repos = c('https://andrewyyp.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:36f7daf23d. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 08 2024 |
R-4.5-win | OK | Nov 08 2024 |
R-4.5-linux | OK | Nov 08 2024 |
R-4.4-win | OK | Nov 08 2024 |
R-4.4-mac | OK | Nov 08 2024 |
R-4.3-win | OK | Nov 08 2024 |
R-4.3-mac | OK | Nov 08 2024 |
Exports:hbridgeMSE_funcpclpclfitqbridge
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Create a Proximal Causal Learning Object | pcl |
Fit a Proximal Causal Learning Model | pclfit |