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 |
OutcomeWeights-package | OutcomeWeights: Outcome Weights of Treatment Effect... |
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 #... |
standardized_mean_differences | Calls C++ implementation to calculate standardized mean... |
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' |
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