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PCL  

Proximal Causal Learning
View on CRAN: Click here


Download and install PCL package within the R console
Install from CRAN:
install.packages("PCL")

Install from Github:
library("remotes")
install_github("cran/PCL")

Install by package version:
library("remotes")
install_version("PCL", "1.0")



Attach the package and use:
library("PCL")
Maintained by
Andrew Ying
[Scholar Profile | Author Map]
First Published: 2021-04-10
Latest Update: 2021-04-10
Description:
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 .
How to cite:
Andrew Ying (2021). PCL: Proximal Causal Learning. R package version 1.0, https://cran.r-project.org/web/packages/PCL. Accessed 06 May. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited PCL R package
View PCL citation profile
Other R packages that PCL depends, imports, suggests or enhances
Complete documentation for PCL
Functions, R codes and Examples using the PCL R package
Some associated functions: MSE_func . hbridge . pcl . pclfit . qbridge . 
Some associated R codes: pcl.R . proxicausal.R . zzz.R .  Full PCL package functions and examples
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