# Semi-Supervised Estimation of Average Treatment Effects

## Documentation for package ‘SMMAL’ version 0.0.5

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## 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