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-any)PCL_1.0.zip(r-4.6-any)PCL_1.0.zip(r-4.5-any)
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✨
DESCRIPTION
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.

2.98 score 1 stars 95 scripts 146 downloads 53 mentions 5 exports 0 dependencies

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

Target	Result	Time
linux-devel	OK	99
source / vignettes	OK	178
linux-release	OK	152
macos-release	OK	169
macos-oldrel	OK	153
windows-devel	OK	57
windows-release	OK	53
windows-oldrel	OK	72
wasm-release	OK	103