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:Andrew Ying [aut, cre], Yifan Cui [ctb], AmirEmad Ghassami [ctb]

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'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.86 score 1 stars 73 scripts 143 downloads 53 mentions 5 exports 0 dependencies

Last updated 4 years agofrom:36f7daf23d. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 09 2024
R-4.5-win	OK	Oct 09 2024
R-4.5-linux	OK	Oct 09 2024
R-4.4-win	OK	Oct 09 2024
R-4.4-mac	OK	Oct 09 2024
R-4.3-win	OK	Oct 09 2024
R-4.3-mac	OK	Oct 09 2024