Semi-Supervised Estimation of Average Treatment Effects

---

Documentation for package ‘SMMAL’ version 0.0.5

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

ate.SSL	Estimate Average Treatment Effect (ATE) via Semi-Supervised Learning
cf	Cross-Fitting with Model Selection and Log Loss Evaluation
compute_parameter	Estimate Nuisance Parameters for Semi-Supervised ATE Estimation
cross_validation	Assign Cross-Validation Folds for Labelled and Unlabelled Data
param_fun	Parameter grid function
SMMAL	Estimate Average Treatment Effect (ATE) via Semi-Supervised Learning Pipeline
SMMAL_ada_lasso	Adaptive LASSO with Cross-Validation