Semi-Supervised Estimation of Average Treatment Effects


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Documentation for package ‘SMMAL’ version 0.0.5

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