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-4.5-any)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:

Conda:

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

2.89 score 1 stars 78 scripts 184 downloads 53 mentions 5 exports 0 dependencies

Last updated 4 years agofrom:36f7daf23d. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 08 2025
R-4.5-winOKMar 08 2025
R-4.5-macOKMar 08 2025
R-4.5-linuxOKMar 08 2025
R-4.4-winOKMar 08 2025
R-4.4-macOKMar 08 2025
R-4.4-linuxOKMar 08 2025
R-4.3-winOKMar 08 2025
R-4.3-macOKMar 08 2025

Exports:hbridgeMSE_funcpclpclfitqbridge

Dependencies: