param_fun

<p>Returns two list of hyperparameters for model tuning.</p>

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.

Jue Hou

SMMAL

Semi-Supervised Estimation of Average Treatment Effects

param_fun: Parameter grid function

Description

Usage

Arguments

Value