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>.

Version: 1.0
Depends: R (≥ 4.0)
Published: 2021-04-10
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-release (x86_64): PCL_1.0.tgz, r-oldrel: PCL_1.0.tgz

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