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-4.7)PCL_1.0.zip(r-4.6)PCL_1.0.zip(r-4.5)
PCL_1.0.tgz(r-4.6-any)PCL_1.0.tgz(r-4.5-any)
PCL_1.0.tar.gz(r-4.7-any)PCL_1.0.tar.gz(r-4.6-any)
PCL_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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.

2.96 score 1 stars 91 scripts 127 downloads 53 mentions 5 exports 0 dependencies

Last updated from:36f7daf23d. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	168
source / vignettes	OK	183
linux-release-x86_64	OK	91
macos-release-arm64	OK	138
macos-oldrel-arm64	OK	201
windows-devel	OK	70
windows-release	OK	53
windows-oldrel	OK	56
wasm-release	OK	81