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SMMAL  

Semi-Supervised Estimation of Average Treatment Effects
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SMMAL", "0.0.5")



Attach the package and use:
library("SMMAL")
Maintained by
Jue Hou
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-08-28
Latest Update: 2025-08-28
Description:
Provides a pipeline for estimating the average treatment effect via semi-supervised learning. Outcome regression is fit with cross-fitting using various machine learning method or user customized function. Doubly robust ATE estimation leverages both labeled and unlabeled data under a semi-supervised missing-data framework. For more details see Hou et al. (2021) <doi:10.48550/arxiv.2110.12336>. A detailed vignette is included.
How to cite:
Jue Hou (2025). SMMAL: Semi-Supervised Estimation of Average Treatment Effects. R package version 0.0.5, https://cran.r-project.org/web/packages/SMMAL. Accessed 29 Sep. 2026.
Previous versions and publish date:
No previous versions
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Complete documentation for SMMAL
Functions, R codes and Examples using the SMMAL R package
Full SMMAL package functions and examples
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