R: Outcome Weights of Treatment Effect Estimators

# Outcome Weights of Treatment Effect Estimators

## Documentation for package ‘OutcomeWeights’ version 0.1.1

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

dml_with_smoother | Double ML estimators with outcome smoothers
get_outcome_weights | Outcome weights method
get_outcome_weights.causal_forest | Outcome weights for the 'causal_forest' function
get_outcome_weights.dml_with_smoother | Outcome weights for the 'dml_with_smoother' function
get_outcome_weights.instrumental_forest | Outcome weights for the 'instrumental_forest' function
NuPa_honest_forest | Nuisance parameter estimation via honest random forest
pive_weight_maker | Outcome weights maker for pseudo-IV estimators.
plot.dml_with_smoother | 'plot' method for class 'dml_with_smoother'
prep_cf_mat | Creates matrix of binary cross-fitting fold indicators (N x # cross-folds)
standardized_mean_differences | Calls C++ implementation to calculate standardized mean differences.
summary.dml_with_smoother | 'summary' method for class 'dml_with_smoother'
summary.get_outcome_weights | 'summary' method for class 'outcome_weights'
summary.standardized_mean_differences | 'summary' method for class 'standardized_mean_differences'