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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 <doi:10.48550/arXiv.2009.10982>.

Version: 1.0
Depends: R (≥ 4.0)
Published: 2021-04-10
DOI: 10.32614/CRAN.package.PCL
Author: Andrew Ying [aut, cre], Yifan Cui [ctb], AmirEmad Ghassami [ctb]
Maintainer: Andrew Ying <aying9339 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: PCL results

Documentation:

Reference manual: PCL.pdf

Downloads:

Package source: PCL_1.0.tar.gz
Windows binaries: r-devel: PCL_1.0.zip, r-release: PCL_1.0.zip, r-oldrel: PCL_1.0.zip
macOS binaries: r-release (arm64): PCL_1.0.tgz, r-oldrel (arm64): PCL_1.0.tgz, r-release (x86_64): PCL_1.0.tgz, r-oldrel (x86_64): PCL_1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=PCL to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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