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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "SMMAL" in publications use:'
type: software
license: MIT
title: 'SMMAL: Semi-Supervised Estimation of Average Treatment Effects'
version: 0.0.5
doi: 10.32614/CRAN.package.SMMAL
abstract: 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) <https://doi.org/10.48550/arxiv.2110.12336>. A detailed
  vignette is included.
authors:
- family-names: Hou
  given-names: Jue
  email: hou00123@umn.edu
- family-names: Zhang
  given-names: Yuming
  email: yumingzhang@hsph.harvard.edu
- family-names: Kong
  given-names: Shuheng
  email: kong0298@umn.edu
repository: https://hjmarquis.r-universe.dev
commit: d373574b0aa825fce5b95441cdf7cbe255ce5cbd
date-released: '2025-08-28'
contact:
- family-names: Hou
  given-names: Jue
  email: hou00123@umn.edu