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
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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'))

Peer review:

On CRAN:

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

2.87 score 1 stars 74 scripts 149 downloads 53 mentions 5 exports 0 dependencies

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

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-winOKNov 08 2024
R-4.5-linuxOKNov 08 2024
R-4.4-winOKNov 08 2024
R-4.4-macOKNov 08 2024
R-4.3-winOKNov 08 2024
R-4.3-macOKNov 08 2024

Exports:hbridgeMSE_funcpclpclfitqbridge

Dependencies: